Salt and pepper noise filtering method based on similar function with better self-adaptation, denoising and detail protection capabilities

Abstract

The invention discloses a salt and pepper noise filtering method based on a similar function, comprising the steps of setting an image filtering window in a 8-bit gray level image, determining noise pixels or suspected noise pixels through central pixel gray level values, and otherwise, judging the pixels to be signal pixels, establishing a marking matrix to mark the noise pixels, eliminating the pixel points in the filtering window, wherein the gray levels of the pixel points are identical to that of the central pixels, constituting a first signal point set by using the signal points which satisfy the marking matrix elements, processing the signals in the first signal point collection to obtain a first output image, setting the marking matrix element corresponding to the position of the output pixel in the output image to finish the filtering processing. The invention has better capability of denoising and maintaining details.

Description

technical field [0001] The invention relates to a filtering method for removing salt-and-pepper noise from an image, in particular to an adaptive weighted salt-and-pepper noise filtering method based on a similarity function. Background technique [0002] The image is affected by factors such as the external environment and the quality of sensor components during the process of image acquisition, transmission and reception, which introduces different types of noise, resulting in a decrease in image quality, among which salt and pepper noise is one of the common noises. Whether the salt and pepper noise can be effectively removed plays an important role in achieving efficient image segmentation and image feature recognition. The traditional method of processing salt and pepper noise uses image-related parameters to detect and eliminate noise, but while removing noise, it also modifies the gray value of non-noisy pixels, losing the details and edges of the image. Contents of...

AI Technical Summary

Problems solved by technology

The traditional method of dealing with salt and pepper noise uses image-related parameters to detect and eliminate noise, but while removing noise, it also modifies the gray value of non-noisy pixels, losing the details and edges of the image

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