Image denoising method

Abstract

The present invention discloses an image denoising method. For an image with a pulse noise and a Gaussian noise, through detecting and separating a pulse noise point, a pixel which is polluted by the pulse noise is subjected to median filter processing in a spatial domain, then a processed image is converted into a wavelet domain, and a wavelet denoising method is employed to remove the Gaussian noise in the image. By using the method, the pulse noise and the Gaussian noise in the image can be effectively removed, the authenticity of image transmission is ensured, the signal to noise ratio is raised, and the desired characteristic of the image is highlighted.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to an image denoising method. Background technique [0002] With the introduction of the concept of information superhighway and digital earth and the wide application of Internet, non-language services in information transmission are also increasing rapidly. Among them, image information has become the main source of information for human beings and an important means of using information due to its large amount of information, fast transmission speed, and long range of action. However, digital images are often affected by factors such as equipment and environment during the acquisition and transmission process, which makes the image quality deteriorate and contain various random noises. Noise pollution makes the image deviate from the real scene, which greatly affects the accuracy of people extracting information from the image, so it is necessary to eliminat...

AI Technical Summary

Problems solved by technology

However, the median filtering effect on Gaussian noise is not good, and the wavelet image denoising method cannot effectively remove impulse noise, and in many cases, impulse noise and Gaussian noise appear simultaneously in the image

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