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Image denoising method based on gray relation threshold value

A gray correlation and gray correlation technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as difficulty in setting algorithm parameters, no correlation between scales, etc., and achieve good denoising effect and good adaptability. Effect

Inactive Publication Date: 2011-09-14
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0005] The above method is mainly an optimization of the traditional mean and median algorithms, or only considers the relationship between coefficient scales, and does not involve the correlation in all directions between scales, and the setting of algorithm parameters is difficult

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  • Image denoising method based on gray relation threshold value
  • Image denoising method based on gray relation threshold value
  • Image denoising method based on gray relation threshold value

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Embodiment Construction

[0023] The method of the present invention will be further described below.

[0024] The flow process of the inventive method is as figure 1 As shown, the method mainly includes the following three steps:

[0025] Step 1: Obtain the gray relational degree of wavelet coefficients.

[0026] This step is divided into the following steps:

[0027] (a) Input a noise image u whose size is M×N, and perform three-scale wavelet decomposition on the noise image u, such as figure 2 As shown, where LL is the smooth component, HH is the detail component in the diagonal direction, LH is the detail component in the vertical direction, and HL is the detail component in the horizontal direction.

[0028] (b) Use wavelet decomposition to obtain wavelet coefficient sequences in each scale and direction. Taking the three-scale sequence in the horizontal direction as an example, the wavelet coefficient sequences corresponding to HL1, HL2, and HL3 are c 1，n1 、c 2，n2 、c 3，n3 .

[0029] Since...

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Abstract

The invention discloses an image denoising method based on a gray relation threshold value, and belongs to the field of image denoising in image processing. The method comprises the following steps of: performing three-dimensional wavelet decomposition on an input noise image, calculating a wavelet coefficient gray relation degree in each dimension and each direction on the basis of a gray relation principle, analyzing the calculated gray relation degrees to construct the gray relation threshold value of wavelet coefficients, screening the wavelet coefficients by using the gray relation threshold value and reconstructing so as to denoise the image. By the method, the image is denoised, and the edge information of the image is well maintained at the same time, so that the denoised image isbetter than that processed by the traditional method in vision.

Description

technical field [0001] The invention relates to an image denoising method, in particular to an image denoising method based on a gray correlation threshold, and belongs to the field of image denoising in image processing. Background technique [0002] Image denoising is one of the important links in image processing and a key step in subsequent processing. Its purpose is to improve the signal-to-noise ratio of the image, improve image quality, and reduce the impact of noise on subsequent image processing as much as possible. Image denoising has high application value and is of great help to the initial processing of actual projects. [0003] In order to meet the needs of the practical application of image denoising, a large number of image denoising algorithms have emerged, such as wavelet method, multi-scale geometric analysis method, partial differential equation method, non-local mean method and so on. Although these denoising methods can better achieve the purpose of de...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 李洪均赵志敏
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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