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An effective image noise detection and denoising method and system

An image noise and image technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as difference measurement and noise

Active Publication Date: 2021-06-15
WUHAN UNIV OF SCI & TECH
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  • Description
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Problems solved by technology

[0007] The present invention aims to solve two problems: a. measure the noise standard deviation accurately to the natural digital noise image; b. based on the first problem, carry out noise removal to the natural digital noise image

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  • An effective image noise detection and denoising method and system
  • An effective image noise detection and denoising method and system
  • An effective image noise detection and denoising method and system

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Embodiment Construction

[0056] Please refer to the accompanying drawings for the following detailed description. The present invention, by way of principle and in conjunction with the drawings, explains specific details for implementing the invention, these implementations being described in sufficient detail to enable those skilled in the art to practice the invention. The various implementations are not necessarily mutually exclusive, as some implementations can be combined with one or more other implementations to form new implementations. Accordingly, the following detailed description should not be considered as limiting, and the scope of the invention is defined by the appended claims.

[0057] The present invention is divided into two parts: noise detection and noise removal; wherein the first part is the detection of noise intensity, which includes dividing the noise image into image blocks, special processing of the image blocks to make them meet the conditions, fusion into a target matrix, ...

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Abstract

The present invention provides an effective image noise detection and denoising method and system. First, the principle of kurtosis-skewness test is used to select samples satisfying the Gaussian distribution in the noise image, and then the noise standard deviation is calculated according to the PCA principle. , and finally use the measured noise standard deviation to perform a new non-local mean denoising on the noisy image. Experimental results show that the detection method of the invention has higher measurement accuracy than the existing method, and the denoising effect is better than the existing classical algorithm. The invention is applicable to natural digital images, including RGB images and grayscale images.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method and system for detecting and removing noise intensity (standard deviation) of natural images. [0002] technical background [0003] As an important carrier for human beings to obtain external information, digital images play an important role in human development. In the process of image acquisition, the image goes through a series of complicated processes from the shooting of the camera, and is particularly easy to be damaged by noise. Image denoising is an important field of image processing research. [0004] From the development history of the image processing field, many researchers at home and abroad have proposed many effective denoising methods in the field of image denoising. No matter whether it is denoising from the whole or from the part, it needs to have the known image noise intensity, that is, the noise standard deviation. But the real problem...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/40G06K9/46G06K9/62
CPCG06V10/30G06V10/50G06F18/2135
Inventor 伍世虔吴家鑫
Owner WUHAN UNIV OF SCI & TECH
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