CN102629970B - Denoising method and system for video images - Google Patents
Denoising method and system for video images Download PDFInfo
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Abstract
The invention provides a denoising method for video images, which includes the steps of caching three frames of video images which are respectively set as last frame images, current frame images and next frame images; calculating a pixel average value of pixels in noise areas of the last frame images, the current frame images and the next frame images; determining a pixel average value of the current frame images respectively by using the pixel average value of the last frame images and the next frame images; and denoising the current frame images based on a determined result. The invention further provides a denoising system for video images. The scheme is that denoising is performed to the whole noise area, each of pixels in the noise is not needed to be processed, the calculating amount of the processing is greatly reduced, the used filtering algorithm is simple, implementing efficiency is high, the processing speed of video images is increased, the display quality of video images is improved, and clearness effect is brought to watchers visually.
Description
Technical field
The present invention relates to Image Denoising, particularly relate to a kind of noise minimizing technology and system of video image.
Background technology
In field of video processing, noise reduction technology is the very important means of one of augmented video picture quality.Usually we are at acquisition video image, and in the process of store video images and video compression, all can introduce noise, these noises have a strong impact on the display quality of video image.
Along with display screen is increasing, often need some video images to carry out amplification display, such as, spell display video image on wall at large-screen, and in the video image amplified, the noise that some areas were tiny originally also along with amplification, the display quality of effect diagram picture.
Current noise-removed technology has a lot, as conventional linear filter method, non-linear filtering method etc., to the effect that dissimilar noise has certain specific aim to remove, but these noise-removed technologies are generally aimed at all image pixels and process, algorithm is complicated, operand is large, has a strong impact on the speed of Computer Vision, particularly for the video image amplified, owing to amplifying the rear required noise pixel showed increased removed, during application conventional noise-removed technology, shortcoming is just more obvious.
Summary of the invention
Based on this, be necessary for conventional noise-removed technology, algorithm complexity, operand are large, have a strong impact on the problem of the speed of Computer Vision, provide a kind of noise minimizing technology and system of video image.
A noise minimizing technology for video image, comprises the steps:
Buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
Calculate the pixel average of the pixel in the noise region of described previous frame, present frame and next frame image;
Utilize described previous frame, pixel average that the pixel average of next frame image judges described current frame image respectively;
Remove according to the noise of described judged result to current frame image.
The noise of video image removes a system, comprising:
Image buffer storage unit, for buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
Pixel value calculating unit, for calculating the pixel average of the pixel in the noise region of described previous frame, present frame and next frame image;
Pixel value judging unit, for utilizing described previous frame, the pixel average of next frame image judges the pixel average of described current frame image respectively;
Noise removal unit, for removing according to the noise of described judged result to current frame image.
The noise minimizing technology of above-mentioned video image and system, by buffer memory 3 frame video image, utilize previous frame, the pixel average of next frame image judges the pixel average of current frame image respectively, then the correlation information between the noise pixel utilizing video image, the noise of magnitude relationship to image according to the pixel average in noise region in image frame data is removed, compared with conventional noise-removed technology, the solution of the present invention carries out denoising for whole noise region, without the need to processing each pixel in noise region, the operand of process greatly reduces, the filtering algorithm adopted is simple, execution efficiency is high, accelerate the speed of Computer Vision, improve the display quality of video image, visual clear effect is brought to beholder.
Accompanying drawing explanation
Fig. 1 is the flow chart of the noise minimizing technology embodiment of video image of the present invention;
Fig. 2 is the flow chart of the noise minimizing technology preferred embodiment of video image;
Fig. 3 is the structural representation of the noise removal system embodiment of video image of the present invention.
Embodiment
Be described in detail below in conjunction with the embodiment of accompanying drawing to the noise minimizing technology of video image of the present invention.
Shown in Figure 1, Fig. 1 is the flow chart of the noise minimizing technology embodiment of video image of the present invention, comprises the steps:
S101: buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
In one embodiment, FIFO (First Input First Output is carried out to video image, First Input First Output) buffering, vedio data is put into DDR (Double Data Rate, Double Data Rate synchronous DRAM) in, 3 frame video images are set to previous frame, present frame and next frame image according to time sequencing by control DDR buffer memory 3 frame video image data respectively.
Preferably, can also, before buffer memory 3 frame video image, first vedio data be cached in DDR, adopt the interlaced data of de interlacing algorithm to video image of Motion Adaptive to fill, obtain vedio data line by line;
Consider that current analog video signal great majority are 576i and 480i forms, after video image decoding is converted to digital video signal, first can carry out de interlacing process being cached to vedio data in DDR, obtain vedio data line by line, after de interlacing process, the signal of video image can become finer and smoother, and flickering when decreasing video image display.
S102: the pixel average calculating the pixel in the noise region of previous frame, present frame and next frame image; Particularly, extract the pixel value of pixel in noise region, then average, because the noise of video image is generally made up of some pixels, form an irregular noise region, whole noise region presents color that is basically identical or band transition, so whole noise region can be processed as a noise unit, and calculate the pixel average of the pixel in noise region, as the pixel value of this noise unit.
S103: utilize previous frame, pixel average that the pixel average of next frame image judges current frame image respectively;
In one embodiment, first judge that whether current frame image is equal with the pixel average of previous frame image, if equal, then judges the pixel average of current frame image and next frame image again.
S104: remove according to the noise of above-mentioned judged result to current frame image;
In one embodiment, according to the judgement of step S103, if the pixel average of current frame image and previous frame image is unequal, then the video data of previous frame image is utilized to fill the video data of current frame image;
If current frame image is equal with the pixel average of next frame image, then the process of background difference is carried out to current frame image and remove noise, otherwise utilize the video data of next frame image to fill the video data of current frame image.
The noise minimizing technology of above-mentioned video image, the characteristic of the correlation information between the noise pixel utilizing video image, then the result compared according to pixel average is selected to be removed by the noise of mode to image of the process of background difference or consecutive frame image completion, compared with conventional noise-removed technology, the program carries out denoising for whole noise region, without the need to processing each pixel in noise region, effectively can remove the noise in video image, the operand of processing procedure greatly reduces, the filtering algorithm adopted is simple, execution efficiency is high, when being particularly applied to the noise Transformatin of the video image of amplification, obviously can accelerate the speed of Computer Vision.
As an embodiment, above-mentioned process of current frame image being carried out to background difference process removal noise, specifically comprises the steps:
A, from image, extract background image; Particularly, the noise of image is analyzed, calculate the performance number calculating Gaussian noise, then according to the performance number calculated, extract fixing background image by filtering;
The moving region of b, extraction image, and noise removal is carried out to moving region; Particularly, the background image of video image and extraction is made difference and can obtain background area and moving region, then moving region is carried out to the adaptive-filtering of pixel domain, remove the noise of moving region;
C, by background image with remove the moving region after noise and merge, current frame image is shown, namely completes the removal to image noise.
Above-mentioned background difference processing mode, the time-domain filtering based on background extracting and pixel domain adaptive filter algorithm two parts composition, this processing mode is for the characteristic in video image noise region between pixel, the time-domain filtering based on background extracting proposed, simple and practical, special in the noise for amplified analog video image, there is good effect.
In order to the noise minimizing technology of more clear video image of the present invention, set forth a preferred embodiment below in conjunction with accompanying drawing.
Shown in Figure 2, Fig. 2 is the flow chart of the noise minimizing technology preferred embodiment of video image, particularly, comprises the steps:
S201: de interlacing process is carried out to the video image of input;
S202: buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
S203: the pixel value extracting the pixel in the noise region of current frame image and previous frame image, and calculating pixel mean value;
S204: judge that whether current frame image is equal with the pixel average of previous frame image;
S205: if not, then adopt the video data of previous frame image to get the video data of filling current frame image, reach the effect removing noise;
S206: the pixel value if so, then extracting the pixel in the noise region of next frame image, and calculating pixel mean value;
S207: judge that whether the pixel average of current frame image and next frame image is equal;
S208: if so, then adopt background differential technique to remove noise;
S209: if not, then adopt the video data of next frame image to fill the video data of current frame image; Current frame image is shown, the effect removing noise can be reached.
Be described in detail below in conjunction with the embodiment of accompanying drawing to system corresponding to the noise minimizing technology of video image of the present invention.
Shown in Figure 3, Fig. 3 is the structural representation of the noise removal system embodiment of video image of the present invention, comprising:
Image buffer storage unit, for buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
Pixel value calculating unit, for calculating the pixel average of the pixel in the noise region of described previous frame, present frame and next frame image;
Pixel value judging unit, for utilizing described previous frame, the pixel average of next frame image judges the pixel average of described current frame image respectively;
Noise removal unit, for removing according to the noise of described judged result to current frame image.
In one embodiment, image buffer storage unit comprises: fifo module and DDR controller;
Wherein, fifo module is used for carrying out FIFO buffering to video image, and vedio data is put into DDR; DDR controller is for control DDR buffer memory 3 frame video image data, according to time sequencing, 3 frame video images are set to previous frame, present frame and next frame image respectively, DDR controller can adopt general DDR to control IP kernel, has been mainly used to the reading of vedio data in DDR and has preserved operation.
In one embodiment, the noise of video image of the present invention is removed system and can also be comprised the de interlacing unit before being arranged on image buffer storage unit, fills for adopting the interlaced data of de interlacing algorithm to video image of Motion Adaptive;
Consider that current analog video signal great majority are 576i and 480i forms, after video image decoding is converted to digital video signal, first can carry out de interlacing process being cached to vedio data in DDR, obtain vedio data line by line, after de interlacing process, the signal of video image can become finer and smoother, and flickering when decreasing video image display.
In one embodiment, noise removal unit is according to the judged result of pixel value judging unit, be further used for: if the pixel average of current frame image and previous frame image is unequal, then utilize the video data of previous frame image to fill the video data of current frame image; If current frame image is equal with the pixel average of next frame image, then the process of background difference is carried out to current frame image and remove noise, otherwise utilize the video data of next frame image to fill the video data of current frame image.
In one embodiment, noise removal unit comprises: background image extraction module, moving region denoising module and image processing and tracking unit module, and these modules mainly complete the function of background difference process;
Wherein, background image extraction module is used for extracting background image from image; Denoising module in moving region for extracting the moving region of image, and carries out noise removal to described moving region; Image processing and tracking unit module is used for described background image and the moving region after removing noise to merge.
The noise minimizing technology of above-mentioned video image, the characteristic of the correlation information between the noise pixel utilizing video image, then the result compared according to pixel average is selected to be removed by the noise of mode to image of the process of background difference or consecutive frame image completion, compared with conventional noise-removed technology, the program carries out denoising for whole noise region, without the need to processing each pixel in noise region, effectively can remove the noise in video image, the operand of processing procedure greatly reduces, the filtering algorithm adopted is simple, execution efficiency is high, when being particularly applied to the noise Transformatin of the video image of amplification, obviously can accelerate the speed of Computer Vision.
The noise of video image of the present invention removes system, can pass through FPGA (Field-Programmable Gate Array, field programmable gate array) chip and realize.
The noise minimizing technology of the video image that the present invention proposes and system, for video image noise Transformatin, there is good effect, compared with general noise-removed technology, processing procedure is simple and practical, and without the filtering algorithm of complexity, execution efficiency is high, effectively can remove the noise in video image, the speed of obvious quickening Computer Vision, is specially adapted to the noise removal that analog video image play by large-screen, also may be used for the noise Transformatin of large screen television video image.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (8)
1. a noise minimizing technology for video image, is characterized in that, comprise the steps:
Buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
Calculate the pixel average of the pixel in the noise region of described previous frame, present frame and next frame image;
Utilize described previous frame, pixel average that the pixel average of next frame image judges described current frame image respectively; Specifically comprise: first judge that whether current frame image is equal with the pixel average of previous frame image, if equal, then judges the pixel average of current frame image and next frame image again;
Remove according to the noise of described judged result to current frame image; Specifically comprise: if the pixel average of current frame image and previous frame image is unequal, then utilize the video data of previous frame image to fill the video data of current frame image; If current frame image is equal with the pixel average of next frame image, then the process of background difference is carried out to current frame image and remove noise, otherwise utilize the video data of next frame image to fill the video data of current frame image.
2. the noise minimizing technology of video image according to claim 1, is characterized in that, described buffer memory 3 frame video image, is set to previous frame, present frame and next frame image step respectively and comprises:
FIFO buffering is carried out to video image, vedio data is put into DDR, control DDR buffer memory 3 frame video image data, according to time sequencing, 3 frame video images are set to previous frame, present frame and next frame image respectively.
3. the noise minimizing technology of video image according to claim 1, is characterized in that, also comprises before described buffer memory 3 frame video image step:
The interlaced data of de interlacing algorithm to video image of Motion Adaptive is adopted to fill.
4. the noise minimizing technology of video image according to claim 1, is characterized in that, describedly carries out the process of background difference to current frame image and removes the step of noise and comprise:
Background image is extracted from image;
Extract the moving region of image, and noise removal is carried out to described moving region;
Described background image and the moving region after removing noise are merged.
5. the noise of video image removes a system, it is characterized in that, comprising:
Image buffer storage unit, for buffer memory 3 frame video image, is set to previous frame, present frame and next frame image respectively;
Pixel value calculating unit, for calculating the pixel average of the pixel in the noise region of described previous frame, present frame and next frame image;
Pixel value judging unit, for utilizing described previous frame, the pixel average of next frame image judges the pixel average of described current frame image respectively; Specifically comprise: first judge that whether current frame image is equal with the pixel average of previous frame image, if equal, then judges the pixel average of current frame image and next frame image again;
Noise removal unit, for removing according to the noise of described judged result to current frame image; Specifically comprise: if the pixel average of current frame image and previous frame image is unequal, then utilize the video data of previous frame image to fill the video data of current frame image; If current frame image is equal with the pixel average of next frame image, then the process of background difference is carried out to current frame image and remove noise, otherwise utilize the video data of next frame image to fill the video data of current frame image.
6. the noise of video image according to claim 5 removes system, and it is characterized in that, described image buffer storage unit comprises:
Fifo module, for carrying out FIFO buffering to video image, puts into DDR by vedio data;
3 frame video images, for control DDR buffer memory 3 frame video image data, are set to previous frame, present frame and next frame image according to time sequencing by DDR controller respectively.
7. the noise of video image according to claim 5 removes system, it is characterized in that, also comprises the de interlacing unit before being arranged on described image buffer storage unit, filling for adopting the interlaced data of de interlacing algorithm to video image of Motion Adaptive.
8. the noise of video image according to claim 7 removes system, and it is characterized in that, described noise removal unit comprises:
Background image extraction module, for extracting background image from image;
Moving region denoising module, for extracting the moving region of image, and carries out noise removal to described moving region;
Image processing and tracking unit module, for merging described background image and the moving region after removing noise.
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| CN117830142B (en) * | 2024-03-06 | 2024-05-14 | 深圳市云影天光科技有限公司 | Video frame-by-frame denoising method and system based on intelligent recognition image processing |
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