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Denoising method for image with mixed noises

A technology of mixing noise and image, applied in the field of image processing, can solve the problem of poor denoising ability of Gaussian noise, and achieve the effect of removing mixed noise and good effect of image

Inactive Publication Date: 2011-08-17
SUN YAT SEN UNIV
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Problems solved by technology

The median filtering algorithm has a good denoising ability for impulse noise, but poor denoising ability for Gaussian noise.

Method used

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  • Denoising method for image with mixed noises
  • Denoising method for image with mixed noises
  • Denoising method for image with mixed noises

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] The invention provides a mixed noise image denoising method, which can better implement Gaussian white noise denoising on the image.

[0032] The present invention uses wavelet packet analysis, which overcomes the shortcoming of low frequency resolution of high-frequency parts in wavelet analysis, can perform orthogonal decomposition on the signal in the whole frequency band, and has stronger self-adaptation in describing signal characteristics sex. Wavelet...

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Abstract

The invention discloses a denoising method for an image with mixed noises, which comprises the following steps of: performing wavelet packet decomposition on the noise-including image; converting the image subjected to the wavelet packet decomposition to a wavelet domain, and dividing the image into a low-frequency sub-band image and a high-frequency sub-band image; filtering the low-frequency sub-band image adopting a neighborhood averaging method; and firstly detecting satisfied special points in the noise of the high-frequency sub-band image by using a cluster analysis method, filtering to remove pulse noise by adopting median filter, and denoising white Gaussian noise on the image by adopting threshold processing in a wavelet contraction step according to the equivalence of a Gaussian curvature high-order diffusion of and wavelet contraction method. When the denoising method is adopted, the mixed noises in the image can be removed, and the double functions of high-frequency characteristics and edge shapes can be well kept, thus a better effect is kept.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for denoising mixed noise images. Background technique [0002] In image processing technology, images are always affected by noise during acquisition and transmission, which has a great impact on visual effects. Therefore, image denoising is an important content of image processing. The essence of image denoising is to separate the noise from the image signal according to the different properties of the noise and the image, and then use the filtering method to remove the noise. Image noise can be divided into two types according to the nature of the noise: impulse noise and Gaussian noise, and can be divided into multiplicative noise, additive noise, quantization noise, "salt and pepper" noise, etc. according to its source. [0003] Wavelet analysis is a time-frequency localized analysis method with a fixed window size (that is, window area) but a variable sha...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 罗笑南唐青华孟思明林格
Owner SUN YAT SEN UNIV
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