An edge protection denoising method

Abstract

The invention provides an edge protection denoising method, which comprises the following steps: step 1, according to the gray-scale domain correlation between the image center pixel and the neighboring pixel, pixel classification is carried out on the input image, and pixels are divided into three types of pixels of the image homogeneous region or edge region, single-point noise pixel and noise block region pixel; Step 2, for three types of pixels with different attributes, the spatial domain and the gray domain under the multi-structure template are combined with adaptive filtering.

Description

technical field [0001] The invention relates to an image processing technology, in particular to an edge-protected denoising method. Background technique [0002] In the process of image acquisition and transmission, it is often interfered by various noise sources, which degrades the image quality, weakens the ability of human eyes or machines to detect and recognize targets in the image, and detects the edge information of the image as a way of target detection and tracking. Therefore, In digital image processing, filtering out noise and preserving edges is of great significance for improving image clarity and visual effect. Low-pass filtering is often used to smooth images, remove noise, and high-pass filtering to sharpen images and enhance edges, which belong to two contradictory processing directions. [0003] Traditional image preprocessing methods such as median filtering and Gaussian filtering will blur edges when removing noise and smoothing images. In recent years,...

AI Technical Summary

Problems solved by technology

However, they all misjudge high-frequency noise as an edge and keep it. The noise processing capability has great limitations, and it cannot effectively filter out salt and pepper noise.

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