Low-light video de-noising method based on phase consistency and scene motion estimation

A motion estimation and consistency technology, applied in the direction of TV, color TV, color TV components, etc., can solve the problems of long time, blurred target, smearing, etc., to achieve obvious effect, prevent image smearing, and improve efficiency. Effect

Active Publication Date: 2015-09-16
南京理工大学智能计算成像研究院有限公司
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Problems solved by technology

Because wrong motion estimation will directly lead to blurring or smearing of the filtered target
However, the current traditional motion estimation methods usually need to perform motion estimation operations on all pixels in the image, which often takes a long time

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  • Low-light video de-noising method based on phase consistency and scene motion estimation

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Embodiment Construction

[0022] Combine figure 1 The low-light level video denoising method based on phase consistency and scene motion estimation of the present invention first obtains the edge images of the image to be registered and the reference image according to the phase consistency method, and then registers the edge images according to the scene-based registration method. Then, the two registered images are differenced to find the corresponding pixels of the moving target, and then motion estimation is performed on all the corresponding pixels of the moving target, thereby finding the correspondence between all the pixels between the image to be registered and the reference image , Finally, all corresponding pixels between the two images are weighted and averaged, and output after completion. The process diagram is as figure 1 As shown, the specific implementation steps are as follows:

[0023] Step 1: Read in the first frame image of the video, and then output it as the image to be registered...

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Abstract

The invention discloses a low-light video de-noising method based on phase consistency and scene motion estimation. The edge image of an image to be registered and a reference image is obtained according to a phase consistency method; then registering is performed on the edge images according to a scene-based registering method; difference of the two images after registering is obtained, and corresponding pixels of a moving object are obtained; then motion estimation is performed on the corresponding pixels of all the moving objects so that the corresponding relations of all the pixel points between the image to be registered and the reference image are found; and finally weighted averaging is performed on all the corresponding pixels between the two images and a de-noised image is outputted after completion. Registering precision can be effectively guaranteed so that a great de-noising effect can be achieved, and the method particularly has obvious de-noising effect on low-light video images with large amount of noise.

Description

Technical field [0001] The invention belongs to the technical field of low-light-level video image denoising, in particular to a low-light level video denoising method based on phase consistency and scene motion estimation. Background technique [0002] Image denoising processing is a basic technology in the field of image processing. For digital image denoising, there have been a lot of research results at home and abroad, and its research hotspots focus on two aspects: denoising algorithms based on space domain and based on transform domain. Among them, spatial domain denoising is to directly process the pixels of noisy images. Common methods include mean filtering, median filtering, and a variety of improved spatial domain denoising methods (see Literature 1: Zhang Xuming, Xu Binshi, Dong Shiyun. For Image processing adaptive median filter[J]. Journal of Computer Aided Design and Graphics, 2005, Vol.17, No.2.295-299). However, because the pixels of the noisy image are direct...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21H04N5/14
Inventor 张玉珍孙佳嵩陈钱左超顾国华胡岩张良
Owner 南京理工大学智能计算成像研究院有限公司
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