CN111815727A - A method and system for image and image information fusion - Google Patents

Abstract

The invention relates to a method and a system for fusing image and image information, which are used for acquiring a collected image of a picture to be processed and reading EXIF information of the collected image; converting the read EXIF information into ASCII code based on binary system, setting the gray value corresponding to '0' of the ASCII code to be 0, and setting the gray value corresponding to '1' of the ASCII code to be 255; writing the ASCII code data converted from the EXIF information of the acquired image into the image, and sequentially writing the ASCII code data into the acquired image according to the writing expression of '0' or '1', thereby finishing the primary encoding of the acquired image; acquiring an initially coded acquired image, detecting a corresponding ASCII code pixel block, respectively performing line expansion and column expansion corresponding to the code pixel block, and outputting the coded acquired image; the invention can stably and effectively record the image data information, and the coding identification does not influence the visual experience of the user, and the effect is obvious.

Description

A method and system for image and image information fusion

technical field

The invention relates to the field of image processing, in particular to a method and system for image and image information fusion.

Background technique

With the rise of the computer industry, it has driven technological progress and revolution in many industries. For example, image processing technology that is closely related to the computer industry, people are constantly developing image processing technology in the process of increasing demand for computer technology, and discover more application fields for image processing technology, such as surveillance, Video images, remote sensing and biomedical images. Since the image is generated, it also carries the factory parameter attribute value. In order to effectively integrate the image with its corresponding image information, the existing method is to superimpose watermarks and superimposed characters on the image. As a mature technology, OSD has been widely used in dedicated image processors.

However, according to the image superimposed by OSD technology, the actual process occupies more image pixels of the image. However, when the user obtains the image or video, he does not want the relevant information of the digital device to be presented in the form of a watermark on the image. At the same time, these superimposed characters will also Affect the user's visual sense or subsequent image processing.

SUMMARY OF THE INVENTION

In view of the problems existing in the above-mentioned prior art, the present invention provides a method and system for fusion of images and image information. The present invention effectively and stably records the data information of the collected images through the operations of encoding and decoding the collected images, and the coding marks The resulting image logo is small, does not affect the user's visual experience, and has a significant effect.

The present invention provides a method for image and image information fusion, comprising the following steps:

Image encoding:

Obtain the captured image of the image to be processed, and read the EXIF information of the captured image;

Based on binary conversion of the read EXIF information into ASCII code, set the gray value value corresponding to "0" of ASCII code to 0, and set the gray value value corresponding to "1" of ASCII code to 255;

Write the ASCII code data converted from the EXIF information of the captured image into the image, in pixel units, "0" is written as a black pixel, "1" is written as a white pixel, and the ASCII code data is written as "0" or "1" Writing means writing the acquired images in sequence to complete the preliminary coding of the acquired images;

Acquire the preliminarily encoded captured image, detect the corresponding ASCII code encoded pixel block, perform row expansion and column expansion corresponding to the encoded pixel block, and output the encoded captured image;

Image decoding:

Detect the ASCII encoded pixel block of the encoded image;

Obtain the border value of the ASCII code encoded pixel block, remove the first line and the last line of the ASCII code encoded pixel block, and select the remaining encoded pixel blocks to be set as the target decoded pixel block;

Based on the target decoding pixel block, perform the column expansion corresponding to the column expansion in the encoding process; detect the gray value of any pixel in each row;

Obtain the grayscale values of all pixel units in each row of the target decoded pixel block, and calculate and output the average pixel grayscale value sequence of the target decoded pixel block by using the arithmetic mean method;

Obtain the output average pixel gray value sequence, and represent any pixel unit of the target decoded pixel block as "0" or "1" of ASCII code based on the gray value threshold approximation method;

Read the ASCII code data converted from the target decoded pixel block, perform plaintext conversion, and output the EXIF information of the corresponding encoded image.

As a further optimization of the above scheme, the row extension and column extension corresponding to the coded pixel block are: for row extension, the duplicate coded pixel block is α row; for column extension, the duplicate coded pixel block is β column.

As a further optimization of the above scheme, the row extension and column extension corresponding to the coded pixel block are: for row extension, the duplicate coded pixel block is 4 rows; for column extension, the duplicate coded pixel block is 2 columns.

As a further optimization of the above solution, the column expansion corresponding to the encoded pixel block specifically includes the following:

Obtain the ASCII-coded pixel block corresponding to the captured image;

The last unit pixel of the ASCII code-coded pixel block is read, a marker column is set below the unit pixel, and the ASCII code-coded pixel block axisymmetric transformation is performed based on the marker column.

As a further optimization of the above solution, for black and white pictures, a gray value of 0 is used to express a binary "0", and a gray value of 255 is used to express a binary "1".

As a further optimization of the above scheme, for color pictures, a black pixel with a (R, G, B) value of (0, 0, 0) is used to express binary "0", and a (R, G, B) value of (255 , 255, 255) white pixels represent binary "1".

As a further optimization of the above scheme, the average pixel gray value sequence of any pixel unit of the target decoding pixel block is specifically calculated as:

Obtain the grayscale values of all pixel units in each row of the target decoded pixel block;

Read the gray value corresponding to the first pixel unit in each row of the target decoding pixel block and located on the same straight line, and obtain the average value as the first average pixel gray value of the target decoding pixel block;

And so on, until the gray value corresponding to the last pixel unit in each row of the target decoded pixel block and located on the same straight line is calculated, the average value is calculated, and the average pixel gray value sequence of the target decoded pixel block is output.

As a further optimization of the above scheme, after obtaining the average pixel gray value sequence, the specific steps of expressing any pixel unit of the target decoding pixel block as "0" or "1" of ASCII code based on the gray value threshold approximation method include: as follows:

Read the average pixel gray value sequence of the target decoded pixel block to obtain the average pixel gray value;

且设置二进制的“0”对应的灰度值数值不超过

在目标解码像素块上显示为黑色；设置二进制的“1”对应的灰度值数值不低于

在目标解码像素块上显示为白色。Set the gray value threshold

And set the gray value value corresponding to binary "0" not to exceed

Displayed as black on the target decoded pixel block; the gray value corresponding to binary "1" is not lower than

Displayed in white on the target decoded pixel block.

The present invention also provides a system for image and image information fusion, the system comprising:

The first acquisition module is used to acquire the acquired image of the picture to be processed, read the EXIF information of the acquired image, and also be used to detect the ASCII code encoded pixel block of the encoded image;

The ASCII code conversion module is used to convert the read EXIF information into ASCII code based on binary code; it is also used to represent any pixel unit of the target decoded pixel block as "0" or "" of ASCII code based on the gray value threshold approximation method. 1";

Set the gray value value corresponding to "0" of ASCII code to 0, and set the gray value value corresponding to "1" of ASCII code to 255;

The data writing module is used to write the ASCII code data converted from the EXIF information of the collected image into the image, in pixel units, "0" is written as a black pixel, "1" is written as a white pixel, and the ASCII code data is written as The writing of "0" or "1" indicates that the captured images are written in sequence to complete the preliminary coding of the captured images;

The data protection module is used to obtain the coded captured image, detect the corresponding ASCII code coded pixel block, and respectively perform row expansion and column expansion corresponding to the coded pixel block; it is also used to decode the pixel block based on the target, and perform the column expansion corresponding to the encoding process. Column contraction of ; detect the gray value of any pixel in each row;

The second acquisition module is used to obtain the border value of the ASCII code encoded pixel block, removes the first line and the last line of the ASCII code encoded pixel block, and selects the remaining encoded pixel blocks and is set as the target decoding pixel block;

The third acquisition module is used to acquire the grayscale values of all pixel units in each row of the target decoding pixel block, and calculate and output the average pixel grayscale value sequence of the target decoding pixel block by using the arithmetic mean method;

The data output module is used to output the coded captured image, and also used to read the ASCII code data converted from the target decoding pixel block, perform plaintext conversion, and output the EXIF information of the corresponding coded image.

The present invention adopts the above-mentioned technical scheme. Compared with the prior art, a method and system for fusion of images and image information of the present invention have the following technical effects:

1. the method for fusion of a kind of image of the present invention and image information, for collecting image, obtain plaintext data information and convert into ASCII code data, take pixel as unit, set "0" of ASCII code data to be written as black pixel, "1. ” is written as white pixels for image encoding and data marking; the present invention is based on the data encoding and decoding process of collected images, effectively fuses images and image plaintext data, and facilitates image information storage and memory.

2. A method of image and image information fusion of the present invention, by using pixels as the basic operation unit to perform image encoding and decoding operations, so that the image mark after the encoding is completed occupies a small overall area of the image, and does not affect the user's ability to pass pixels. The visual experience of the marked image content is good for practicality.

3. A method of image and image information fusion of the present invention, through the row and column expansion of the original encoded pixel map in the processing process, effectively considering the pixel gray value changes that may occur in the actual processing process of the image. Or the graphics are partially cut, resulting in the interference of the encoded information and the subsequent decoding errors. The added extension sequence effectively ensures the robustness of the image encoding and decoding operations, and is beneficial to the user's later error tolerance for image decoding processing.

Description of drawings

1 is a schematic diagram of an image coding flow diagram of a method for image and image information fusion according to the present invention;

2 is a schematic diagram of an image decoding process flow of a method for image and image information fusion according to the present invention;

3 is a schematic diagram of a binary pixel of a method for image and image information fusion according to the present invention;

4 is another schematic diagram of a binary pixel of a method for fusion of an image and image information according to the present invention;

5 is another schematic diagram of a binary pixel of a method for image and image information fusion according to the present invention;

FIG. 6 is an example diagram of a method for image and image information fusion according to the present invention;

FIG. 7 is a structural block diagram of an image and image information fusion system according to the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

As shown in Figures 1-7, an embodiment of the present invention provides a method for image and image information fusion, including the following:

Image encoding:

Step1. Obtain the captured image of the image to be processed, and read the EXIF information of the captured image; specifically, the capture terminal in the embodiment of the present invention is an electronic terminal device that can perform image capture and storage, and may be a mobile phone, a computer, a tablet or above, or other related electronic equipment;

Step2. Convert the read EXIF information into ASCII code based on binary code, set the gray value value corresponding to "0" of ASCII code to 0, and set the gray value value corresponding to "1" of ASCII code to 255; It should be noted that, due to the diversity of EXIF information in plain text, such as characters, numbers, punctuation marks and other forms, it cannot be directly recognized by the machine, so the ASCII code that is easily recognized by the machine is used for encoding conversion;

Step3. Write the ASCII code data converted from the EXIF information of the captured image into the image, in pixel units, "0" is written as a black pixel, "1" is written as a white pixel, and the ASCII code data is written as "0" or "" The writing of 1" means writing the acquired images in sequence, and completing the preliminary coding of the acquired images;

Specifically, for black and white pictures, the present invention uses a gray value of 0 to express a binary "0", and a gray value of 255 to express a binary "1"; for color pictures, the (R, G, B) value is used as (0, The black pixel of 0, 0) expresses binary "0", and the white pixel with (R, G, B) value (255, 255, 255) is used to express binary "1"; for example, when expressing binary 01010101, eight Pixels are used to express, and the expression effect is as shown in the figure:

Step4. Obtain the preliminary encoded captured image, detect the corresponding ASCII code encoded pixel block, perform row expansion and column expansion corresponding to the encoded pixel block, and output the encoded captured image;

Step41. The column expansion corresponding to the encoded pixel block also includes the following:

Obtain the ASCII-coded pixel block corresponding to the captured image;

The last unit pixel of the ASCII code-coded pixel block is read, a marker column is set below the unit pixel, and the ASCII code-coded pixel block axisymmetric transformation is performed based on the marker column.

Specifically, the row extension and column extension corresponding to the coded pixel block are: for row extension, the duplicate coded pixel block is α row; for column extension, the duplicate coded pixel block is β column; preferably, the coded pixel block in this embodiment is The row extension and column extension corresponding to the block are: for row extension, the copy-coded pixel block is 4 rows; for column extension, the copy-coded pixel block is 2 columns.

More specifically, after the image is encoded, there may be other operations such as format conversion and compression of the image in the later stage. The smoothing, filtering and other processing algorithms involved in the operation process may change the gray value of the image pixel, and the encoding information will be changed. Due to the interference of other normal image data, the pixels used to express binary values in the above images are expanded; in this embodiment, it is preferably set to expand twice horizontally and expand four times vertically, such as the binary 01010101 expression as shown in the figure:

In actual image coding, the first four lines of the image are sacrificed, and the specific columns of the first four lines are used to express additional information to express the time information at 8:59:59 on January 1, 2020, for the data string 20200101085959, use Expressed by ASCII code, a number is expressed by 8 bits, a total of 112 bits, occupying a total of 4 rows and 224 columns of pixels in the image;

Based on the extension sequence added in the encoding process, it is effectively considered that the gray value of the pixel may change during the actual processing of the image, resulting in the interference of the encoding information and the drawbacks of subsequent decoding errors. The additional extension sequence effectively guarantees It improves the robustness of image encoding and decoding operations, which is beneficial to the user's fault tolerance for image processing in the later stage;

In this embodiment, the line extension of the coded image is preferably set to be twice the horizontal extension. In the actual operation process, in view of the user may have edge cutting processing, the edge pixels of the first area of the coded image are destroyed. When expanding, insert a marker column, and perform reverse order copying of row expansion after the marker column. As shown in the figure, this embodiment is preferably set to insert three black columns as marker columns after the first round of row expansion, that is, on the original basis. Set 4 rows and (448+3) columns of pixels on the top, which can effectively avoid the user's cutting of edge pixels, and further enhance the image coding to avoid the possibility of accidents;

Image decoding:

Step5. Detect the ASCII encoded pixel block of the encoded image;

Step6. Obtain the border value of the ASCII code encoded pixel block, remove the first line and the last line of the ASCII code encoded pixel block, and select the remaining encoded pixel blocks to set as the target decoded pixel block;

Specifically, in the pixel decoding process of the present implementation, the pixels of the rows and columns of the ASCII code-encoded pixel block are first obtained; then the pixels of the valid rows are extracted by the screening algorithm. Since the top row is the edge of the image, the bottom row It is adjacent to the actual image content, so the lines in the above two cases are the most susceptible lines in image processing, and do not have reference for actual image decoding, so the γ line from the first line down from the first line of the ASCII code encoded pixel block is eliminated. and the γ row from the tail row to the top, this embodiment preferably removes one row up and down, and the sample pixels actually used are the second row and the third row, and then traverse the ASCII code pixel block, after obtaining the marked column, then The right end of the mark column is arranged in reverse order and then shrinked to be the actual pixel code of the image;

More specifically, in this embodiment, the corresponding reverse process of image encoding is performed, that is, the valid sequence is read first, then the column multiple shrinking of the valid sequence is performed, and finally the gray value conversion of the actual valid sequence is performed to generate the corresponding binary data;

In this embodiment, the lowest gray value of 0 and the highest value of 255 are used for encoding. After a series of image processing such as denoising and compression, it effectively ensures that the gray value will not be completely assimilated by the surrounding pixels of the image; and in the actual decoding process , the grayscale threshold can be enlarged, which can effectively deal with the subtle changes of the pixel grayscale value in the image processing process;

Step7. Based on the target decoding pixel block, perform the column expansion corresponding to the column expansion of the encoding process; detect the gray value of any pixel in each row; specifically, since the image has been expanded in the encoding process, its corresponding ASCII code is encoded It is also changed through column expansion, so in the decoding process, inverse process transformation is performed for column expansion to obtain the actual effective ASCII code encoding;

Step8. Obtain the grayscale values of all pixel units in each row of the target decoded pixel block, and use the arithmetic mean method to calculate and output the average pixel grayscale value sequence of the target decoded pixel block;

Specifically, the average pixel gray value sequence of any pixel unit of the target decoding pixel block is specifically calculated as:

Step81. Obtain the grayscale values of all pixel units in each row of the target decoded pixel block;

Step82. Read the gray value corresponding to the first pixel unit in each row of the target decoding pixel block and located on the same straight line, and obtain the average value as the first average pixel gray value of the target decoding pixel block;

Step 83. By analogy, until the gray value corresponding to the last pixel unit in each row of the target decoding pixel block and located on the same straight line is calculated, the average value is calculated, and the average pixel gray value sequence of the target decoding pixel block is output.

Step9. Obtain the output average pixel gray value sequence, and represent any pixel unit of the target decoding pixel block as "0" or "1" of ASCII code based on the gray value threshold approximation method;

Specifically, after obtaining the average pixel gray value sequence, the specific steps of expressing any pixel unit of the target decoding pixel block as "0" or "1" of the ASCII code based on the gray value threshold approximation method include the following steps:

Step91. Read the average pixel gray value sequence of the target decoded pixel block to obtain the average pixel gray value;

且设置二进制的“0”对应的灰度值数值不超过

在目标解码像素块上显示为黑色；设置二进制的“1”对应的灰度值数值不低于

在目标解码像素块上显示为白色。Step92. Set the gray value threshold

And set the gray value value corresponding to binary "0" not to exceed

Displayed as black on the target decoded pixel block; the gray value corresponding to binary "1" is not lower than

Displayed in white on the target decoded pixel block.

Step10. Read the ASCII code data converted from the target decoded pixel block, perform plaintext conversion, and output the EXIF information of the corresponding encoded image.

Based on a method for fusion of image and image information provided by the embodiment of the present invention, marking and remarking the image can be completed by performing pixel coding on the image; and then by detecting whether any image has an ASCII code encoded pixel block, the image can be encoded. The present invention is aimed at the encoding operation of any image, which can effectively record the physical information of the image, and avoid the loss of other identification information caused by the loss of the user; and the pixel is used as the unit, which does not affect the user's image marked by pixels. The sensory experience of the content; at the same time, during the coding, the user's subsequent processing operations on the image are effectively considered, and the soft backup and destructive protection of the identification information are performed in advance, and the effective information storage of the image is carried out, and the effect is remarkable.

The embodiment of the present invention also provides a system for image and image information fusion, the system includes:

The first acquisition module 10 is used to acquire the captured image of the picture to be processed, read the EXIF information of the captured image, and also be used to detect the ASCII code encoded pixel block of the encoded image;

The ASCII code conversion module 20 is used to convert the read EXIF information into ASCII code based on binary code; it is also used to represent any pixel unit of the target decoding pixel block as "0" or "0" of the ASCII code based on the gray value threshold approximation method. "1";

The data writing module 30 is used to write the ASCII code data converted from the EXIF information of the collected image into the image, in pixel units, "0" is written as a black pixel, "1" is written as a white pixel, and the ASCII code data is written into the image. According to the writing of "0" or "1", the captured images are written in sequence, and the encoding of the captured images is completed;

The data protection module 40 is used for acquiring the coded captured image, detecting the corresponding ASCII code coded pixel block, and performing row expansion and column expansion corresponding to the coded pixel block respectively; and is also used for decoding the pixel block based on the target, and performing the coding process column expansion The corresponding column shrinks; detects the gray value of any pixel in each row;

The second acquisition module 50 is used to obtain the border value of the ASCII code encoded pixel block, removes the first line and the last line of the ASCII code encoded pixel block, and selects the remaining encoded pixel blocks and is set as the target decoding pixel block;

The third acquisition module 60 is used for acquiring the grayscale values of all pixel units in each row of the target decoding pixel block, and calculating and outputting the average pixel grayscale value sequence of the target decoding pixel block using the arithmetic mean method;

The data output module 70 is configured to read the converted ASCII code data of the target decoded pixel block, perform plaintext conversion, and output the corresponding EXIF information of the encoded image.

In the embodiment of the present invention, the user collects any image based on the first acquisition module 10, and reads the EXIF information of the collected image; the preprocessing of the image is performed by the ASCII code conversion module 20: the binary-based conversion of the read EXIF information into ASCII code, the ASCII code data converted from the EXIF information of the collected image is written into the image via the data writing module 30, in pixels, "0" is written as a black pixel, "1" is written as a white pixel, and the preliminary image is completed. Encoding; then for the preliminarily encoded processed image, the data protection module 40 is used to carry out row expansion and column expansion of the preliminary encoded pixel block, respectively, to generate an encoded image with self-protection;

When the user performs the decoding operation, the coded image is detected, the first row and the last row of the ASCII code coded pixel block are eliminated based on the second acquisition module 50, and the remaining coded pixel blocks are selected and set as the target decoding pixel block; through the third acquisition module 60 calculates and outputs the average pixel gray value sequence of the target decoded pixel block, then obtains the plaintext information of the image through the ASCII code conversion module 20 and the data writing module 30, and outputs the corresponding EXIF information of the encoded image through the data output module 70.

In addition, it should be understood that although this specification is described in terms of embodiments, not each embodiment only includes an independent technical solution, and this description in the specification is only for the sake of clarity, and those skilled in the art should take the specification as a whole , the technical solutions in each embodiment can also be appropriately combined to form other implementations that can be understood by those skilled in the art.

Claims (9)

1. a method for image and image information fusion, is characterized in that, comprises the steps: Image encoding: Obtain the captured image of the image to be processed, and read the EXIF information of the captured image; Based on binary conversion of the read EXIF information into ASCII code, set the gray value value corresponding to "0" of ASCII code to 0, and set the gray value value corresponding to "1" of ASCII code to 255; Write the ASCII code data converted from the EXIF information of the captured image into the image, in pixel units, "0" is written as a black pixel, "1" is written as a white pixel, and the ASCII code data is written as "0" or "1" Writing means writing the acquired images in sequence to complete the preliminary coding of the acquired images; Acquire the preliminarily encoded captured image, detect the corresponding ASCII code encoded pixel block, perform row expansion and column expansion corresponding to the encoded pixel block, and output the encoded captured image; Image decoding: Detect the ASCII encoded pixel block of the encoded image; Obtain the border value of the ASCII code encoded pixel block, remove the first line and the last line of the ASCII code encoded pixel block, and select the remaining encoded pixel blocks to be set as the target decoded pixel block; Based on the target decoding pixel block, perform the column expansion corresponding to the column expansion in the encoding process; detect the gray value of any pixel in each row; Obtain the grayscale values of all pixel units in each row of the target decoded pixel block, and calculate and output the average pixel grayscale value sequence of the target decoded pixel block by using the arithmetic mean method; Obtain the output average pixel gray value sequence, and represent any pixel unit of the target decoded pixel block as "0" or "1" of ASCII code based on the gray value threshold approximation method; Read the ASCII code data converted from the target decoded pixel block, perform plaintext conversion, and output the EXIF information of the corresponding encoded image. 2. The method for merging an image and image information according to claim 1, wherein the row extension and column extension corresponding to the encoded pixel block are: for row extension, copying the encoded pixel block is α row; Column expansion, copy-coded pixel blocks are β columns. 3. The method for merging an image and image information according to claim 2, wherein the row extension and column extension corresponding to the encoded pixel block are: for row extension, copying the encoded pixel block is 4 rows; Column expansion, copy-coded pixel block is 2 columns. 4. The method for fusion of image and image information according to claim 1, wherein the column expansion corresponding to the encoded pixel block further comprises the following: Obtain the ASCII-coded pixel block corresponding to the captured image; The last unit pixel of the ASCII code-coded pixel block is read, a marker column is set below the unit pixel, and the ASCII code-coded pixel block axisymmetric transformation is performed based on the marker column. 5. the method for fusion of a kind of image and image information according to claim 1, it is characterised in that, for black and white pictures, adopting grayscale value 0 to express binary "0", using grayscale value 255 to express binary "1" . 6. The method for fusion of an image and image information according to claim 1, wherein, for a color picture, a black pixel with a (R, G, B) value of (0, 0, 0) is used to express the binary "0", a binary "1" is represented by a white pixel with (R, G, B) value (255, 255, 255). 7. The method for fusion of an image and image information according to claim 1, wherein the average pixel gray value sequence of any pixel unit of the target decoding pixel block is specifically calculated as: Obtain the grayscale values of all pixel units in each row of the target decoded pixel block; Read the gray value corresponding to the first pixel unit in each row of the target decoding pixel block and located on the same straight line, and obtain the average value as the first average pixel gray value of the target decoding pixel block; And so on, until the gray value corresponding to the last pixel unit in each row of the target decoded pixel block and located on the same straight line is calculated, the average value is calculated, and the average pixel gray value sequence of the target decoded pixel block is output. 8. The method for fusion of image and image information according to claim 1, wherein after obtaining the average pixel gray value sequence, any pixel unit of the target decoding pixel block is decoded based on the gray value threshold approximation method The specific steps represented as "0" or "1" in ASCII code include the following: Read the average pixel gray value sequence of the target decoded pixel block to obtain the average pixel gray value; Set the gray value threshold

And set the gray value value corresponding to binary "0" not to exceed

Displayed as black on the target decoded pixel block; the gray value corresponding to binary "1" is not lower than

Displayed in white on the target decoded pixel block. 9. A system for image and image information fusion, wherein the system comprises: The first acquisition module is used to acquire the acquired image of the picture to be processed, read the EXIF information of the acquired image, and also be used to detect the ASCII code encoded pixel block of the encoded image; The ASCII code conversion module is used to convert the read EXIF information into ASCII code based on binary code; it is also used to represent any pixel unit of the target decoded pixel block as "0" or "" of ASCII code based on the gray value threshold approximation method. 1"; Set the gray value value corresponding to "0" of ASCII code to 0, and set the gray value value corresponding to "1" of ASCII code to 255; The data writing module is used to write the ASCII code data converted from the EXIF information of the collected image into the image, in pixel units, "0" is written as a black pixel, "1" is written as a white pixel, and the ASCII code data is written as The writing of "0" or "1" indicates that the captured images are written in sequence to complete the preliminary coding of the captured images; The data protection module is used to obtain the coded captured image, detect the corresponding ASCII code coded pixel block, and respectively perform row expansion and column expansion corresponding to the coded pixel block; it is also used to decode the pixel block based on the target, and perform the column expansion corresponding to the encoding process. Column contraction of ; detect the gray value of any pixel in each row; The second acquisition module is used to obtain the border value of the ASCII code encoded pixel block, removes the first line and the last line of the ASCII code encoded pixel block, and selects the remaining encoded pixel blocks and is set as the target decoding pixel block; The third acquisition module is used to acquire the grayscale values of all pixel units in each row of the target decoding pixel block, and calculate and output the average pixel grayscale value sequence of the target decoding pixel block by using the arithmetic mean method; The data output module is used to output the coded captured image, and also used to read the ASCII code data converted from the target decoding pixel block, perform plaintext conversion, and output the EXIF information of the corresponding coded image.

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