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Method for removing salt-and-pepper noise of non-local convertible filter image

A non-local filtering, salt and pepper noise technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of secondary image pollution, unsatisfactory removal of high-density salt and pepper noise, easy loss of edge information, etc. Avoid secondary pollution, improve repair effect, increase redundancy effect

Inactive Publication Date: 2017-04-26
LIAONING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the local median method ignores the discrimination between normal pixels and noise points, and forces all pixels to be filtered. Since many normal pixels are filtered, edge information is easily lost, which eventually leads to secondary pollution of the image. In addition, The removal effect of high-density salt and pepper noise is not ideal

Method used

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  • Method for removing salt-and-pepper noise of non-local convertible filter image
  • Method for removing salt-and-pepper noise of non-local convertible filter image
  • Method for removing salt-and-pepper noise of non-local convertible filter image

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Embodiment Construction

[0022] The salt and pepper noise removal method of the non-local transformable filter image of the present invention is carried out according to the following steps:

[0023] a. Read the noise image to be processed (such as figure 1 shown), recorded as Image noise , agreed Image noise The long record is M, the wide record is N, and the convention (i, j) is Image noise The coordinates of the pixel in the convention Pixel (i,j) is the pixel value of the pixel on the image coordinates (i, j);

[0024] b. If figure 2 Shown, from Image noise Starting from the coordinates (1,1), read the image content in the range of 3*3 pixels centered on the coordinates (i,j) to generate image blocks, move pixel by pixel according to the principle of top to bottom and left to right to generate image blocks , until the coordinates (M-1, N-1) end, according to the coordinates (i, j) of the center pixel of each generated image block, mark the above-mentioned generated image blocks as Patch (i...

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Abstract

The invention discloses a method for removing salt-and-pepper noise of non-local convertible filter image. Through the switching of filters, the salt-and-pepper noise in the image blocks is replaced by a median value to shield the interference of noise to the calculation weight; after that, the similarity between an adjacent block and a to-be-repaired block is calculated; through the use of the adjacent block to repair the to-be-repaired block and through the use of the image in a non-local scope to repair, the information redundancy of de-noising for the image is increased; secondary pollution to the image is avoided; and therefore, the repairing effect for the salt-and-pepper noise of the image, especially of the image with high density is increased considerably.

Description

technical field [0001] The invention relates to an image noise removal method, in particular to a method for removing salt and pepper noise of a non-local transformable filter image with good processing effect and capable of processing salt and pepper noise of high-density images. Background technique [0002] Images are often polluted by various noises during the process of acquisition and transmission, salt and pepper noise is a common type. Due to the large pulse interference generated by the salt and pepper noise, the content of the image is directly expressed as the maximum or minimum value of the pixel, resulting in a large number of black and white points in the image. Salt and pepper noise pollution firstly reduces the visual quality of the image significantly, and secondly, due to the large and small noise values ​​and their adjacent pixels form a large number of gradient values ​​with large amplitudes, which seriously interfere with subsequent analysis and processi...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20024G06T5/70
Inventor 傅博荣欣萌宋传鸣王相海
Owner LIAONING NORMAL UNIVERSITY
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