A Weighted Average Salt and Pepper Noise Denoising Method Based on Edge Preservation

Abstract

The invention discloses a salt and pepper noise noise reduction algorithm, which comprises a salt and pepper noise detector and a filter based on edge protection. Among them, the salt-and-pepper noise detector is used to find fixed-value salt-and-pepper noise, and determine an adaptive window centered on the noise pixel, and the size of the window is adjusted according to the noise density in the window. The filter based on edge protection is realized by replacing the noise pixel value in the center with the weighted average value of the lossless pixel value in the window; wherein, the weighted average value is based on the distance from the center noise pixel to determine the weighted size; "based on the edge "Protection" means that the designed edge detector detects whether the central noise pixel is located on the edge of the image, and then adds additional weights to the lossless pixels that are also on the edge of the image according to the judgment result, so as to achieve the purpose of edge protection.

Description

A Weighted Average Salt and Pepper Noise Reduction Method Based on Edge Protection technical field The present invention relates to a kind of image noise reduction method of salt and pepper noise (impact noise), specifically a kind of based on edge protection The weighted average salt and pepper noise reduction method. Background technique Image noise reduction is an important link in image preprocessing, and image noise reduction is important for subsequent image display, segmentation, measurement The precision and accuracy of quantity, recognition, etc. have a significant impact. [0003] In the process of image acquisition, imaging and image signal transmission, it will inevitably be disturbed by noise. [0004] With the development of science and technology and the improvement of living standards, people have higher and higher requirements for the quality of images. Noise reduction plays an important role in improving the quality of images. With the development o...

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Problems solved by technology

[0006] Over the years, researchers have proposed a variety of noise reduction algorithms, but the previous noise reduction algorithms generally have the following shortcomings: first, the noise reduction effect is not good; second, it will damage the edge details of the image, making the image The edge becomes blurred; the third is that the amount of calculation required is too large, or a large amount of resources are required to train the algorithm

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