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Image smoothing method based on affine transformation

A technology of image smoothing and affine transformation, which is applied in the field of image smoothing based on affine transformation, can solve problems such as not easy to obtain, achieve the effect of enhancing image detail display, improving signal-to-noise ratio, and simple method

Pending Publication Date: 2022-04-12
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 smoothing results of real noisy images in different situations are not easy to obtain

Method used

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  • Image smoothing method based on affine transformation
  • Image smoothing method based on affine transformation
  • Image smoothing method based on affine transformation

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Embodiment Construction

[0048] The present invention will be further described below using the drawings and specific embodiments.

[0049] refer to figure 1 , a kind of image smoothing method based on affine transformation of the present invention, 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 low-rank component to determine final smoothing result;

[0050] 1) Pixel similarity calculation based on image block affine

[0051] Divide the image into overlapping image blocks, select pixels with a step size of s, each pixel has a window with a radius of r, record the pixel coordinates of each pixel in the window, and for the center pixel of each image block , to calculate its structure tensor and ellipse neighbors, for the image pixel point P 0 =[x 0 the y 0 ] T , whose structure tensor is Mark point P 0 The affine covariance radius of the area is r, then the pixel poin...

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Abstract

The invention relates to an affine low-rank-based image smoothing method, which is characterized by comprising the following steps of: calculating the double-noise similarity of an image block by adopting pixel similarity calculation based on image block affine and utilizing an original noise image and an image in an iteration process; performing low-rank approximation on the similar image block vector matrix; the low-rank component is utilized to determine the content of the final smoothing result, the noise level of the image captured by the imager can be effectively reduced, image detail display 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 smoothing and denoising, and relates to an image smoothing method based on affine transformation. Background technique [0002] Traditional early image smoothing algorithms include filtering-based methods, transform-domain-based methods, and variation-based methods. The filtering-based method is to perform linear or nonlinear operations on the pixels in the local area of ​​the image, and replace the operation result with the value of the original pixel, such as mean filtering, Gaussian filtering, median filtering, adaptive weighting filtering, etc. The method based on the transform domain is to transform the image into the frequency domain through a certain frequency domain transformation, concentrate the noise components on a certain frequency component, filter out the noise components through a certain filtering method or operator in the frequency domain, and then transform back to spatial domain to get a ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T3/00
Inventor 侯艳权王义春李维杜欣阳宋人杰
Owner STATE GRID CORP OF CHINA
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