Non-local mean image denoising method combined with structure information

A non-local mean and structural information technology, applied in the field of image processing, can solve the problems of image pseudo-texture, lack of consistency in gray value, poor edge preservation effect, etc., to achieve the elimination of pseudo-texture, improve the edge preservation effect, and clear edges Effect
CN102117482AActive Publication Date: 2011-07-06XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2011-07-06

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Abstract

The invention discloses a non-local mean image denoising method combined with structure information, and the method provided by the invention is mainly used for solving the problem of pseudo image traces generated after the non-local means deonising. The non-local mean image denoising method comprises the following steps: (1) inputting an image to be denoised; (2) carrying out two-dimensional stationary wavelet transformation and inverse transformation on the image to obtain a reconstructed image; (3) extracting the structure information of the image by means of primal sketch to obtain a sideridge sketch of the image, and dividing the reconstructed image into a smooth region and a structure region; (4) forming a square window with a pixel as the center in the smooth region so as to search similar pixels, and calculating the similarity weights to re-estimate all of the pixels in the window; (5) forming a window with a pixel as a center along the structure direction of the structure region to search the similar pixels, and calculating the similarity weights to re-estimate all of the pixels in the window; and (6) combining the re-estimation results of the pixels in the smooth regionand the structure region to obtain a final denoised image. The method can be used for natural image denoising.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, relates to an image denoising method, and can be used for denoising natural images. Background technique

[0002] Image denoising has always been an important problem in the image processing community. Due to the imperfection of image acquisition equipment, problems in the process of acquisition and transmission, and the interference of some unavoidable natural phenomena, the image data will be polluted by noise. Therefore, image denoising has become a commonly used image preprocessing method in order to improve image quality and image recognizability. Image denoising methods are mainly divided into spatial domain and frequency domain methods. The former does not need to transform the image, and directly denoises the image pixels, such as the classic mean filter, anisotropic filter and bilateral filter. The latter needs to transform the image into the frequency domain first, and then ...

Claims

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