CN112037301A - Method and device for correcting reconstructed image and storage medium - Google Patents

Abstract

The present application relates to a correction method, device and storage medium for reconstructed images. The method includes: acquiring a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image; determining at least one set of correction tables according to a preset correction algorithm; at least one set of correction tables corresponds to at least one reconstructed image, and the correction The table is used to represent the correction operation of each pixel in the reconstructed image; the at least one reconstructed image is corrected by using the at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image. By adopting the method, the calibration time can be saved and the calibration speed can be improved.

Description

Correction method, device and storage medium for reconstructed image

technical field

The present application relates to the technical field of image reconstruction, and in particular, to a correction method, device and storage medium for reconstructed images.

Background technique

With the development of medical imaging equipment, CT (Computed Tomography, electronic computed tomography), MRI (Magnetic Resonance Imaging, magnetic resonance imaging), PET (Positron Emission Computed Tomography, positron emission tomography), X-ray scanning, etc. The equipment is widely used in clinical diagnosis.

In the related art, the medical imaging equipment performs image reconstruction according to the scanning result after scanning. Due to various influencing factors such as the beating of the patient's heart, the movement of the patient's breathing, and the presence of metals in the patient's body during the image reconstruction process, various artifacts usually exist in the reconstructed image. In order to reduce the artifacts on the reconstructed image, the reconstructed image needs to be corrected. For example, correcting for motion artifacts, correcting for metallic artifacts, and so on.

However, when the number of reconstructed images is large or the resolution of the reconstructed images is high, a large amount of correction time needs to be consumed, resulting in a slow correction speed.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide a correction method, device and storage medium for reconstructing an image that can save correction time and improve correction speed for the above technical problems.

A correction method for a reconstructed image, the method comprising:

Obtain a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

Determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

Correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

In one of the embodiments, at least one set of correction tables includes a position correction table; the above-mentioned correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to at least one reconstructed image, including:

For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel;

According to the original pixel value and correction position of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated.

In one of the embodiments, at least one set of correction tables includes pixel value correction tables; the above-mentioned correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to at least one reconstructed image, including:

For the target reconstructed image, use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the target reconstructed image to obtain the corrected pixel value of each pixel point;

According to the original position and corrected pixel value of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated.

In one of the embodiments, at least one set of correction tables includes a position correction table and a pixel value correction table; the above-mentioned correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to at least one reconstructed image, including:

For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel;

Use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the target reconstructed image to obtain the corrected pixel value of each pixel point;

According to the corrected position and corrected pixel value, a corrected image corresponding to the target reconstructed image is generated.

In one of the embodiments, the above-mentioned position correction processing is performed on each pixel in the target reconstructed image by using the position correction table corresponding to the target reconstructed image to obtain the corrected position of each pixel, including:

determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;

For each pixel in the reconstructed image of the target, obtain the X coordinate, the Y coordinate and the Z coordinate from the same storage positions of the first position correction table, the second position correction table and the third position correction table respectively;

The first pixel point to be corrected is determined according to the X coordinate, the Y coordinate and the Z coordinate, and the storage position is used as the correction position of the first pixel point.

In one of the embodiments, the above-mentioned pixel value correction processing is performed on each pixel in the target reconstructed image by using the pixel value correction table corresponding to the target reconstructed image to obtain the corrected pixel value of each pixel, including:

For each pixel in the target reconstructed image, obtain the correction weight corresponding to each pixel from the pixel value correction table corresponding to the target reconstructed image;

The pixel value correction process is performed according to the original pixel value and the correction weight of each pixel point, and the corrected pixel value corresponding to each pixel point is obtained.

In one embodiment, the above-mentioned pixel value correction processing is performed according to the original pixel value of each pixel point and the correction weight, and the corrected pixel value corresponding to each pixel point is obtained, including:

For the target pixel, multiply the original pixel value of the target pixel and the correction weight to obtain the corrected pixel value corresponding to the target pixel.

In one embodiment, the above-mentioned pixel value correction processing is performed according to the original pixel value of each pixel point and the correction weight, and the corrected pixel value corresponding to each pixel point is obtained, including:

In the case where at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, take at least one pixel point near the first pixel point as the second pixel point, and perform interpolation calculation according to the original pixel value of the second pixel point to obtain intermediate pixel value;

The product calculation is performed on the intermediate pixel value and the correction weight to obtain the corrected pixel value of the first pixel point.

A correction device for reconstructed images, the device includes:

an image acquisition module for acquiring a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

a correction table determination module, configured to determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

The image correction module is configured to perform correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

In one of the embodiments, at least one set of correction tables includes a position correction table; the above-mentioned image correction module includes:

The first correction position determination sub-module is used to perform position correction processing on each pixel point in the target reconstructed image by using the position correction table corresponding to the target reconstructed image for the target reconstructed image to obtain the correction position of each pixel point;

The first corrected image generation sub-module is configured to generate a corrected image corresponding to the target reconstructed image according to the original pixel value and corrected position of each pixel in the target reconstructed image.

In one of the embodiments, at least one set of correction tables includes pixel value correction tables; the above-mentioned image correction module includes:

The first correction pixel value determination sub-module is used to perform pixel value correction processing on each pixel point in the target reconstructed image by using the pixel value correction table corresponding to the target reconstructed image for the target reconstructed image to obtain the corrected pixel value of each pixel point. ;

The second corrected image generation sub-module is configured to generate a corrected image corresponding to the target reconstructed image according to the original position and corrected pixel value of each pixel in the target reconstructed image.

In one of the embodiments, at least one set of correction tables includes a position correction table and a pixel value correction table; the above-mentioned image correction module includes:

The second correction position determination sub-module is used to perform position correction processing on each pixel in the target reconstructed image by using the position correction table corresponding to the target reconstructed image for the target reconstructed image to obtain the corrected position of each pixel point;

The second correction pixel value determination sub-module is used to perform pixel value correction processing on each pixel point in the target reconstructed image by using the pixel value correction table corresponding to the target reconstructed image to obtain the corrected pixel value of each pixel point;

The third corrected image generating sub-module is configured to generate a corrected image corresponding to the target reconstructed image according to the corrected position and corrected pixel value.

In one of the embodiments, the above-mentioned first correction position determination sub-module is specifically configured to determine the first position correction table, the second position correction table and the third position correction table corresponding to the reconstructed image; for each pixel in the reconstructed image point, obtain the X coordinate, the Y coordinate and the Z coordinate from the same storage position of the first position correction table, the second position correction table and the third position correction table respectively; according to the X coordinate, the Y coordinate and the Z coordinate, determine the For the first pixel, use the storage location as the corrected position of the first pixel.

In one of the embodiments, the above-mentioned first corrected pixel value determination sub-module is specifically configured to, for each pixel in the target reconstructed image, obtain the correction weight corresponding to each pixel from a pixel value correction table corresponding to the target reconstructed image ; Perform pixel value correction processing according to the original pixel value of each pixel point and the correction weight, and obtain the corrected pixel value corresponding to each pixel point.

In one embodiment, the above-mentioned first corrected pixel value determination sub-module is specifically configured to calculate the product of the original pixel value of the target pixel and the correction weight for the target pixel to obtain the corrected pixel value corresponding to the target pixel.

In one of the embodiments, the above-mentioned first corrected pixel value determination submodule is specifically configured to determine at least one pixel point near the first pixel point when at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal. As the second pixel, interpolation calculation is performed according to the original pixel value of the second pixel to obtain an intermediate pixel value; the product of the intermediate pixel value and the correction weight is calculated to obtain the corrected pixel value of the first pixel.

A computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

Obtain a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

Determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

Correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

Determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

Correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

The above-mentioned method, device and storage medium for correcting a reconstructed image, the terminal acquires a set of reconstructed images to be corrected, determines at least one set of correction tables according to a preset correction algorithm; performs correction processing on at least one reconstructed image by using at least one set of correction tables, and obtains at least one set of correction tables. A corrected image corresponding to the reconstructed image. In the embodiment of the present disclosure, the correction table is used to represent the correction operation of each pixel in the reconstructed image, that is, there is no dependency between the correction processing of any two points in the reconstructed image, and the correction processing of all pixels in the reconstructed image can be performed in parallel , so it can save the calibration time and improve the calibration speed.

Description of drawings

1 is a schematic flowchart of a method for correcting a reconstructed image in one embodiment;

Fig. 2 is one of the schematic flowcharts of the steps of obtaining a corrected image corresponding to a reconstructed image in one embodiment;

FIG. 3 is a second schematic flowchart of a step of obtaining a corrected image corresponding to a reconstructed image in one embodiment;

FIG. 4 is a third schematic flowchart of a step of obtaining a corrected image corresponding to a reconstructed image in one embodiment;

5 is a schematic diagram of a calibration table in one embodiment;

6 is a structural block diagram of an apparatus for correcting a reconstructed image in one embodiment;

FIG. 7 is a diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

The correction method for reconstructed images provided in this application can be applied to medical imaging equipment. Wherein, the medical imaging equipment includes a scanning system and a control system, the scanning system includes a ray tube, a detector and a scanning gantry (gantry); the control system includes at least one terminal, and the terminal may include a processor, a display and a memory. As shown in FIG. 1 , the method is applied to a terminal as an example to illustrate, including the following steps:

Step 101: Obtain a reconstructed image set to be corrected.

Wherein, the reconstructed image set includes at least one reconstructed image.

The terminal controls the scanning system to scan, and receives the scanning results fed back by the scanning system. Afterwards, the terminal performs image reconstruction according to the scanning result to obtain at least one reconstructed image, and the reconstructed image set is composed of the at least one reconstructed image. This embodiment of the present disclosure does not limit the number of reconstructed images in the reconstructed image set.

Step 102: Determine at least one set of correction tables according to a preset correction algorithm.

Wherein, at least one set of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image.

The preset correction algorithm may include at least one of a motion artifact correction algorithm and a metal artifact correction algorithm. After determining the preset correction algorithm, the terminal determines the correction method of the reconstructed image according to the preset correction algorithm, and obtains at least one set of correction tables corresponding to each reconstructed image according to the correction method.

The above-mentioned determination of the correction method of the reconstructed image according to the preset correction algorithm may be to determine only the position correction of each pixel in the reconstructed image, or to determine only the pixel value of each pixel in the reconstructed image, or to determine both. Position correction is performed on each pixel point in the reconstructed image, and pixel value correction is performed on each pixel point in the reconstructed image.

If it is determined that only the position correction is performed on each pixel in the reconstructed image, a position correction table is obtained corresponding to each reconstructed image. If it is determined that only pixel value correction is performed on each pixel point in the reconstructed image, a pixel value correction table is obtained corresponding to each reconstructed image. If the position correction is performed on each pixel point in the reconstructed image, and the pixel value correction is performed on each pixel point in the reconstructed image, a position correction table and a pixel value correction table are obtained corresponding to each reconstructed image.

Step 103: Perform correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

After obtaining at least one set of correction tables, for each reconstructed image, use the corresponding correction table to perform correction processing on each pixel in the reconstructed image to obtain a corresponding corrected image. The correction processing includes at least one of position correction processing and pixel value correction processing. Also, since there is no dependency between the correction processes for any two points in the reconstructed image, the correction processes can be performed in parallel.

Parallel correction processing can be implemented using the CUDA (Compute Unified Device Architecture) computing model of the GPU (Graphics Processing Unit, graphics processing unit), or using multiple threads of the CPU (central processing unit, central processing unit), or using the CPU's The vector calculation function is implemented. This embodiment of the present disclosure does not limit this.

In the above method for calibrating a reconstructed image, the terminal acquires a set of reconstructed images to be corrected, and determines at least one set of correction tables according to a preset correction algorithm; performs correction processing on at least one reconstructed image by using at least one set of correction tables, and obtains at least one reconstructed image corresponding to the set of reconstructed images. corrected image. In the embodiment of the present disclosure, the correction table is used to represent the correction operation of each pixel in the reconstructed image, that is, there is no dependency between the correction processing of any two points in the reconstructed image, and the correction processing of all pixels in the reconstructed image can be performed in parallel , so it can save the calibration time and improve the calibration speed.

In one embodiment, as shown in FIG. 2 , the above-mentioned steps of performing correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image may include:

Step 201 , for the target reconstructed image, use a position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel.

In the case where the at least one set of correction tables includes the position correction table, the terminal first determines the first position correction table, the second position correction table and the third position correction table corresponding to the target reconstructed image; Pixel points, respectively obtain the X coordinate, Y coordinate and Z coordinate from the same storage positions of the first position correction table, the second position correction table and the third position correction table; For the first pixel point in the correction process, the storage position is used as the correction position of the first pixel point. Wherein, the first position correction table may be the X coordinate correction table of each pixel point; the second position correction table may be the Y coordinate correction table of each pixel point; the third position correction table may be the Z coordinate correction table of each pixel point.

For example, it is determined that the reconstructed image 1 is the target reconstructed image, the X coordinate correction table corresponding to the reconstructed image 1 is X1, the Y coordinate correction table is Y1, and the Z coordinate correction table is Z1. After that, the terminal obtains the X coordinate as 1 from the storage location (3, 5, 8) of X1, obtains the Y coordinate as 2 from the storage location (3, 5, 8) of Y1, and obtains the Y coordinate from the storage location (3, 5, 8) of Z1. , 5, 8) The Z coordinate obtained from this storage location is 5, and the first pixel to be corrected is determined according to the X coordinate, Y coordinate, and Z coordinate as (1, 2, 5), and (3, 5, 8) This storage location is the correction location of the first pixel point (1, 2, 5).

By analogy, the corrected position of each pixel in each reconstructed image in the reconstructed image set is obtained.

Step 202: Generate a corrected image corresponding to the reconstructed target image according to the original pixel value and corrected position of each pixel in the reconstructed target image.

After obtaining the corrected position of each pixel in the target reconstructed image, take the original pixel value of each pixel as the pixel value of the corrected position, and generate a corrected image corresponding to the target reconstructed image according to the corrected position of each pixel and the pixel value of the corrected position .

In the above-mentioned steps of performing correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to at least one reconstructed image, for the target reconstructed image, the terminal uses the position correction table corresponding to the target reconstructed image to correct the position correction table in the reconstructed image. Each pixel is subjected to position correction processing to obtain the corrected position of each pixel; a corrected image corresponding to the target reconstructed image is generated according to the original pixel value and corrected position of each pixel in the target reconstructed image. In the embodiment of the present disclosure, when at least one set of correction tables includes a position correction table, the position correction processing of all pixels in each reconstructed image can be performed in parallel, thus saving correction time and improving correction speed.

In one embodiment, as shown in FIG. 3 , the above-mentioned steps of performing correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image may include:

Step 301 , for the target reconstructed image, use a pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel in the target reconstructed image to obtain the corrected pixel value of each pixel.

When at least one set of correction tables includes a pixel value correction table, the terminal performs pixel value correction processing on the target reconstructed image according to the pixel value correction table corresponding to the target reconstructed image. The pixel value correction processing procedure may include: for each pixel point in the target reconstructed image, obtaining the correction weight corresponding to each pixel point from a pixel value correction table corresponding to the target reconstructed image; then, according to the original pixel value of each pixel point and The correction weight performs pixel value correction processing to obtain the corrected pixel value of each pixel point.

Wherein, performing pixel value correction processing according to the original pixel value of each pixel point and the correction weight, and obtaining the corrected pixel value of each pixel point may include: for the target pixel point, multiplying the original pixel value of the target pixel point and the correction weight are calculated, Obtain the corrected pixel value corresponding to the target pixel point.

For example, the target reconstructed image is reconstructed image 1. In reconstructed image 1, pixel 1 is first determined as the target pixel, and the original pixel value of pixel 1 is a, and the pixel is obtained from the pixel value correction table corresponding to reconstructed image 1. The weight corresponding to 1 is w, then calculate the product of the original pixel value a and the correction weight w, and obtain the corrected pixel value of pixel 1 a*w. This embodiment of the present disclosure does not limit the correction weight. By analogy, the corrected pixel value corresponding to each pixel in the target reconstruction image is calculated.

Step 302: Generate a corrected image corresponding to the target reconstructed image according to the original position and corrected pixel value of each pixel in the target reconstructed image.

After the corrected pixel value of each pixel point is obtained, a corrected image is generated according to the original position of each pixel point and the corrected pixel value corresponding to each original position. By analogy, a corrected image corresponding to each reconstructed image in the reconstructed image set can be generated.

In the above-mentioned steps of performing correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to at least one reconstructed image, for the target reconstructed image, the terminal uses the pixel value correction table corresponding to the target reconstructed image to correct the target reconstructed image. Each pixel in the target reconstructed image is subjected to pixel value correction processing to obtain the corrected pixel value of each pixel; according to the original position and corrected pixel value of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated. In the embodiment of the present disclosure, when at least one set of correction tables includes pixel value correction tables, pixel value correction processing for all pixels in each reconstructed image can be performed in parallel, thus saving correction time and improving correction speed.

In one embodiment, as shown in FIG. 4 , the above-mentioned steps of performing correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image may include:

Step 401 , for the target reconstructed image, use a position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel.

As shown in FIG. 5, at least one set of correction tables includes a position correction table and a pixel value correction table. The position correction table includes an X coordinate correction table, a Y coordinate correction table, and a Z coordinate correction table, and the pixel value correction table is a W correction table. For the position correction processing of each pixel in the target reconstructed image, reference may be made to the foregoing embodiments, and details are not described herein again.

Step 402 , using the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the target reconstructed image to obtain the corrected pixel value of each pixel point.

For pixel value correction processing on each pixel in the target reconstructed image, reference may be made to the foregoing embodiments.

In one of the embodiments, the X coordinate, the Y coordinate and the Z coordinate may be finite decimals, and the specific process of the pixel value correction processing may include: when at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal At least one pixel point near the first pixel point is used as the second pixel point, and the interpolation calculation is performed according to the original pixel value of the second pixel point to obtain the intermediate pixel value; the product calculation of the intermediate pixel value and the correction weight is performed to obtain the first pixel point corrected pixel value.

For example, the X coordinate obtained from the storage location (3, 5, 8) of the X coordinate correction table X1 is 1.0, and the Y coordinate obtained from the storage location (3, 5, 8) of the Y coordinate correction table Y1 is 2.0, the Z coordinate obtained from the storage location (3, 5, 8) of the Z coordinate correction table Z1 is 5.5, and the first pixel to be corrected is determined according to the X coordinate, Y coordinate, and Z coordinate as (1, 2, 5.5), (3, 5, 8) this storage location is the correction location of the first pixel point (1, 2, 5.5). Since the obtained Z coordinate is 5.5, which is a finite decimal, in this case, (1, 2, 5) and (1, 2, 6) near the first pixel are taken as the second pixel, according to the second pixel The original pixel value of the pixel is interpolated to obtain the intermediate pixel value. After that, the corrected pixel value of the first pixel is obtained according to the intermediate pixel value and the correction weight.

The above-mentioned interpolation calculation may use a linear interpolation algorithm, a cubic interpolation algorithm, etc., and the number of nearby points used by different interpolation algorithms may be different.

Step 403: Generate a corrected image corresponding to the target reconstructed image according to the corrected position and corrected pixel value.

After obtaining the corrected position and corrected pixel value, the terminal generates a corrected image corresponding to the target reconstructed image according to the corrected position and corrected pixel value.

In the above-mentioned steps of performing correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image, for the target reconstructed image, the terminal uses the position correction table corresponding to the target reconstructed image to perform correction on the target reconstructed image. Perform position correction processing on each pixel point in the reconstructed image to obtain the corrected position of each pixel point; use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the reconstructed image to obtain the corrected pixel value of each pixel point. ; Generate a corrected image corresponding to the target reconstructed image according to the corrected position and corrected pixel value. In the embodiment of the present disclosure, when at least one set of correction tables includes a position correction table and a pixel value correction table, the position correction processing of all pixel points in each reconstructed image can be performed in parallel, and the pixel value correction processing of all pixel points can also be performed in parallel. It can be executed in parallel, so the calibration time can be saved and the calibration speed can be improved.

It should be understood that although the steps in the flowcharts of FIGS. 2-4 are sequentially displayed according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and these steps may be performed in other orders. Moreover, at least a part of the steps in FIG. 2 to FIG. 4 may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but may be executed at different times. The order of execution is also not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the steps or stages within the other steps.

In one embodiment, as shown in FIG. 6, a correction device for reconstructed images is provided, including:

an image acquisition module 501, configured to acquire a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

A correction table determination module 502, configured to determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

The image correction module 503 is configured to perform correction processing on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

In one embodiment, at least one set of correction tables includes a position correction table; the above-mentioned image correction module 503 includes:

The first correction position determination sub-module is used to perform position correction processing on each pixel point in the target reconstructed image by using the position correction table corresponding to the target reconstructed image for the target reconstructed image to obtain the correction position of each pixel point;

The first corrected image generation sub-module is configured to generate a corrected image corresponding to the target reconstructed image according to the original pixel value and corrected position of each pixel in the target reconstructed image.

In one embodiment, at least one set of correction tables includes pixel value correction tables; the above-mentioned image correction module 503 includes:

The first correction pixel value determination sub-module is used to perform pixel value correction processing on each pixel point in the target reconstructed image by using the pixel value correction table corresponding to the target reconstructed image for the target reconstructed image to obtain the corrected pixel value of each pixel point. ;

The second corrected image generation sub-module is configured to generate a corrected image corresponding to the target reconstructed image according to the original position and corrected pixel value of each pixel in the target reconstructed image.

In one embodiment, at least one set of correction tables includes a position correction table and a pixel value correction table; the above-mentioned image correction module 503 includes:

The second correction position determination sub-module is used to perform position correction processing on each pixel in the target reconstructed image by using the position correction table corresponding to the target reconstructed image for the target reconstructed image to obtain the corrected position of each pixel point;

The second correction pixel value determination sub-module is used to perform pixel value correction processing on each pixel point in the target reconstructed image by using the pixel value correction table corresponding to the target reconstructed image to obtain the corrected pixel value of each pixel point;

The third corrected image generating sub-module is configured to generate a corrected image corresponding to the target reconstructed image according to the corrected position and corrected pixel value.

In one of the embodiments, the above-mentioned first correction position determination sub-module is specifically configured to determine the first position correction table, the second position correction table and the third position correction table corresponding to the reconstructed image of the target; Pixel points, respectively obtain the X coordinate, Y coordinate and Z coordinate from the same storage position of the first position correction table, the second position correction table and the third position correction table; determine the to-be-corrected processing according to the X coordinate, the Y coordinate and the Z coordinate The first pixel point of , the storage position is taken as the correction position of the first pixel point.

In one of the embodiments, the above-mentioned first corrected pixel value determination sub-module is specifically configured to, for each pixel in the target reconstructed image, obtain the correction weight corresponding to each pixel from a pixel value correction table corresponding to the target reconstructed image ; Perform pixel value correction processing according to the original pixel value and correction weight of each pixel point to obtain the corrected pixel value of each pixel point.

In one embodiment, the above-mentioned first corrected pixel value determination sub-module is specifically configured to calculate the product of the original pixel value of the target pixel and the correction weight for the target pixel to obtain the corrected pixel value corresponding to the target pixel.

In one of the embodiments, the above-mentioned first corrected pixel value determination submodule is specifically configured to determine at least one pixel point near the first pixel point when at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal. As the second pixel, interpolation calculation is performed according to the original pixel value of the second pixel to obtain an intermediate pixel value; the product of the intermediate pixel value and the correction weight is calculated to obtain the corrected pixel value of the first pixel.

For the specific limitation of the correction device for the reconstructed image, reference may be made to the limitation on the correction method for the reconstructed image above, which will not be repeated here. Each module in the above-mentioned correction device for reconstructed image can be implemented in whole or in part by software, hardware and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided, and the computer device may be a terminal, and its internal structure diagram may be as shown in FIG. 7 . The computer equipment includes a processor, memory, a communication interface, a display screen, and an input device connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium, an internal memory. The nonvolatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for wired or wireless communication with an external terminal, and the wireless communication can be realized by WIFI, operator network, NFC (Near Field Communication) or other technologies. The computer program, when executed by a processor, implements a correction method of a reconstructed image. The display screen of the computer equipment may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment may be a touch layer covered on the display screen, or a button, a trackball or a touchpad set on the shell of the computer equipment , or an external keyboard, trackpad, or mouse.

Those skilled in the art can understand that the structure shown in FIG. 7 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, including a memory and a processor, a computer program is stored in the memory, and the processor implements the following steps when executing the computer program:

Obtain a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

Determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

Correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

In one of the embodiments, the at least one set of correction tables includes a position correction table; the processor also implements the following steps when executing the computer program:

For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel;

According to the original pixel value and correction position of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated.

In one embodiment, at least one set of correction tables includes pixel value correction tables; the processor also implements the following steps when executing the computer program:

For the target reconstructed image, use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel in the reconstructed image to obtain the corrected pixel value of each pixel;

According to the original position and corrected pixel value of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated.

In one embodiment, at least one set of correction tables includes a position correction table and a pixel value correction table; the processor also implements the following steps when executing the computer program:

For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel;

Use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the target reconstructed image to obtain the corrected pixel value of each pixel point;

According to the corrected position and corrected pixel value, a corrected image corresponding to the target reconstructed image is generated.

In one embodiment, the processor further implements the following steps when executing the computer program:

determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;

For each pixel in the reconstructed image of the target, obtain the X coordinate, the Y coordinate and the Z coordinate from the same storage positions of the first position correction table, the second position correction table and the third position correction table respectively;

The first pixel point to be corrected is determined according to the X coordinate, the Y coordinate and the Z coordinate, and the storage position is used as the correction position of the first pixel point.

In one embodiment, the processor further implements the following steps when executing the computer program:

For each pixel in the target reconstructed image, obtain the correction weight corresponding to each pixel from the pixel value correction table corresponding to the target reconstructed image;

The pixel value correction process is performed according to the original pixel value and the correction weight of each pixel point, and the corrected pixel value of each pixel point is obtained.

In one embodiment, the processor further implements the following steps when executing the computer program:

For the target pixel, multiply the original pixel value of the target pixel and the correction weight to obtain the corrected pixel value corresponding to the target pixel.

In one embodiment, the processor further implements the following steps when executing the computer program:

In the case where at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, take at least one pixel point near the first pixel point as the second pixel point, and perform interpolation calculation according to the original pixel value of the second pixel point to obtain intermediate pixel value;

The product calculation is performed on the intermediate pixel value and the correction weight to obtain the corrected pixel value of the first pixel point.

In one embodiment, a computer-readable storage medium is provided on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image;

Determine at least one group of correction tables according to a preset correction algorithm; at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image;

Correction processing is performed on at least one reconstructed image by using at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image.

In one of the embodiments, the at least one set of correction tables includes a position correction table; the computer program further implements the following steps when executed by the processor:

For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel;

According to the original pixel value and correction position of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated.

In one embodiment, at least one set of correction tables includes pixel value correction tables; the computer program further implements the following steps when executed by the processor:

For the target reconstructed image, use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the target reconstructed image to obtain the corrected pixel value of each pixel point;

According to the original position and corrected pixel value of each pixel in the target reconstructed image, a corrected image corresponding to the target reconstructed image is generated.

In one embodiment, at least one set of correction tables includes a position correction table and a pixel value correction table; the computer program further implements the following steps when executed by the processor:

For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel;

Use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel in the reconstructed image to obtain the corrected pixel value of each pixel;

According to the corrected position and corrected pixel value, a corrected image corresponding to the target reconstructed image is generated.

In one embodiment, the computer program further implements the following steps when executed by the processor:

determining a first position correction table, a second position correction table and a third position correction table corresponding to the target reconstructed image;

For each pixel in the reconstructed image of the target, obtain the X coordinate, the Y coordinate and the Z coordinate from the same storage positions of the first position correction table, the second position correction table and the third position correction table respectively;

The first pixel point to be corrected is determined according to the X coordinate, the Y coordinate and the Z coordinate, and the storage position is used as the correction position of the first pixel point.

In one embodiment, the computer program further implements the following steps when executed by the processor:

For each pixel point in the target reconstructed image, obtain the correction weight corresponding to the pixel point from the pixel value correction table corresponding to the target reconstructed image;

The pixel value correction process is performed according to the original pixel value and the correction weight of each pixel point, and the corrected pixel value of each pixel point is obtained.

In one embodiment, the computer program further implements the following steps when executed by the processor:

For the target pixel, multiply the original pixel value of the target pixel and the correction weight to obtain the corrected pixel value corresponding to the target pixel.

In one embodiment, the computer program further implements the following steps when executed by the processor:

In the case where at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, take at least one pixel point near the first pixel point as the second pixel point, and perform interpolation calculation according to the original pixel value of the second pixel point to obtain intermediate pixel value;

The product calculation is performed on the intermediate pixel value and the correction weight to obtain the corrected pixel value of the first pixel point.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage In the medium, when the computer program is executed, it may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other media used in the various embodiments provided in this application may include at least one of non-volatile and volatile memory. The non-volatile memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, and the like. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, the RAM may be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM).

The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be noted that, for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (10)

1. A correction method for a reconstructed image, wherein the method comprises: Obtain a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image; Determine at least one group of correction tables according to a preset correction algorithm; the at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image; Correction processing is performed on the at least one reconstructed image by using the at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image. 2. The method according to claim 1, wherein the at least one set of correction tables comprises a position correction table; the at least one reconstructed image is corrected by using the at least one set of correction tables to obtain the The corrected image corresponding to the at least one reconstructed image, including: For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel; A corrected image corresponding to the reconstructed target image is generated according to the original pixel value of each pixel in the reconstructed target image and the corrected position. 3 . The method according to claim 1 , wherein the at least one set of correction tables includes a pixel value correction table; and the at least one reconstructed image is corrected by using the at least one set of correction tables to obtain The corrected image corresponding to the at least one reconstructed image, including: For the target reconstructed image, use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel in the reconstructed image to obtain the corrected pixel value of each pixel; According to the original position of each pixel in the target reconstructed image and the corrected pixel value, a corrected image corresponding to the target reconstructed image is generated. 4. The method according to claim 1, wherein the at least one set of correction tables includes a position correction table and a pixel value correction table; Correction processing to obtain a corrected image corresponding to the at least one reconstructed image, including: For the target reconstructed image, use the position correction table corresponding to the target reconstructed image to perform position correction processing on each pixel in the target reconstructed image to obtain the corrected position of each pixel; Use the pixel value correction table corresponding to the target reconstructed image to perform pixel value correction processing on each pixel point in the target reconstructed image to obtain the corrected pixel value of each pixel point; According to the corrected position and the corrected pixel value, a corrected image corresponding to the target reconstructed image is generated. 5. The method according to any one of claims 2-4, wherein the position correction processing is performed on each pixel in the target reconstructed image by using a position correction table corresponding to the target reconstructed image, Get the corrected position of each pixel, including: determining a first position correction table, a second position correction table and a third position correction table corresponding to the reconstructed image of the target; For each pixel in the reconstructed image of the target, the X coordinate, the Y coordinate and the Z coordinate are respectively obtained from the same storage locations of the first position correction table, the second position correction table and the third position correction table coordinate; The first pixel point to be corrected is determined according to the X coordinate, the Y coordinate and the Z coordinate, and the storage position is used as the correction position of the first pixel point. 6 . The method according to claim 5 , wherein the pixel value correction process is performed on each pixel in the target reconstructed image by using a pixel value correction table corresponding to the target reconstructed image to obtain each pixel. 7 . Corrected pixel values for the point, including: For each pixel in the target reconstructed image, obtain the correction weight corresponding to each pixel from the pixel value correction table corresponding to the target reconstructed image; The pixel value correction process is performed according to the original pixel value of each pixel point and the correction weight, and the corrected pixel value corresponding to each pixel point is obtained. 7. The method according to claim 6, wherein the pixel value correction processing is performed according to the original pixel value of each pixel point and the correction weight to obtain the corrected pixel value corresponding to each pixel point, comprising: For the target pixel, the original pixel value of the target pixel is multiplied by the correction weight to obtain the corrected pixel value corresponding to the target pixel. 8. The method according to claim 6, wherein the pixel value correction processing is performed according to the original pixel value of each pixel point and the correction weight to obtain the corrected pixel value corresponding to each pixel point, comprising: In the case where at least one of the X coordinate, the Y coordinate and the Z coordinate is a finite decimal, at least one pixel point near the first pixel point is used as a second pixel point, according to the second pixel point The original pixel value of the point is interpolated to obtain the intermediate pixel value; The product calculation is performed on the intermediate pixel value and the correction weight to obtain the corrected pixel value corresponding to the first pixel point. 9. A correction device for reconstructed images, wherein the device comprises: an image acquisition module for acquiring a reconstructed image set to be corrected; the reconstructed image set includes at least one reconstructed image; A correction table determination module, configured to determine at least one group of correction tables according to a preset correction algorithm; the at least one group of correction tables corresponds to at least one reconstructed image, and the correction table is used to represent the correction operation of each pixel in the reconstructed image ; An image correction module, configured to perform correction processing on the at least one reconstructed image by using the at least one set of correction tables to obtain a corrected image corresponding to the at least one reconstructed image. 10. A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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