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Affine low-rank-based image denoising method

An image and image block technology, applied in the field of image denoising based on affine low rank, can solve the problem that the denoising result is not easy to obtain

Active Publication Date: 2021-04-20
STATE GRID CORP OF CHINA +2
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Problems solved by technology

Methods based on deep learning usually require a large number of sample pairs for training, but the denoising results of real noisy images in different situations are not easy to obtain

Method used

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  • Affine low-rank-based image denoising method
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  • Affine low-rank-based image denoising method

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Embodiment Construction

[0049] The present invention will be further described below using the drawings and specific embodiments.

[0050] refer to figure 1 , a kind of image denoising method based on affine low rank of the present invention, it is characterized in that, it comprises content as follows: Based on the pixel similarity calculation of image block affine; Carry out low rank approximation to similar image block vector matrix; Utilize The low-rank components determine the final denoising result;

[0051] 1) Pixel similarity calculation based on image block affine

[0052] In order to reduce the amount of calculation, the image is divided into overlapping image blocks, and the pixel points are selected with a step size of s. Each pixel point has a window with a radius of r, and the pixel coordinates of each pixel in the window are recorded. For each image The central pixel of the block, calculate its structure tensor and ellipse neighbors, for the image pixel P 0 =[x 0 the y 0 ] T , w...

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Abstract

According to the affine low-rank-based image denoising method of the invention, pixel similarity calculation based on image block affine is adopted, so that the double-noise similarity of image blocks can be calculated by using an original noise map and an iterative process map; low-rank approximation is performed on the similar image block vector matrix; the final denoising result is determined by using the low-rank component, the noise level of the image captured by the imager can be effectively reduced, the detail display of the image is enhanced, the signal-to-noise ratio of the image is improved, and the method has the advantages of being simple, scientific, reasonable, high in applicability, good in effect and the like.

Description

technical field [0001] The invention belongs to the field of image denoising and relates to an image denoising method based on affine low rank. Background technique [0002] Image denoising is a basic problem in the field of image processing, and it has been a research hotspot for a long time. During the imaging process, factors such as thermal noise, electrical noise, and external environmental interference inside the sensor will often cause noise in the output image. Due to different application occasions and application environments, the weight and volume requirements of the imager are also different, and the application requirements will also increase the complexity of noise. These noises not only affect the overall visual effect of the image, but also interfere with the subsequent target detection, target tracking and other issues. Therefore, it is still very necessary and meaningful to remove the noise in the image in practical applications. [0003] Traditional earl...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/00
Inventor 许大鹏苗克超张奇宋人杰王子明
Owner STATE GRID CORP OF CHINA
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