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Pseudo-Zernike moment-based image denoising algorithm

An image and algorithm technology, applied in the field of image denoising algorithm, can solve problems such as interference

Inactive Publication Date: 2011-04-27
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

[0004] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to research and design a novel image denoising algorithm based on pseudo-Zernike moments, so as to solve the problem that the image is disturbed by various noises in the process of acquisition, transmission and storage. And other issues

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Embodiment Construction

[0029] Specific embodiments of the present invention are shown in the accompanying drawings, with figure 1 The shown image denoising algorithm based on pseudo-Zernike moments includes the combination of pseudo-Zernike moments and non-local mean algorithm. in:

[0030] 1. Non-local mean denoising algorithm

[0031] The non-local image denoising algorithm considers the similarity of the local structure in the weighted smoothing process of each pixel, and achieves a high noise filtering effect. The basic idea is: the current pixel value is obtained by the weighted average of all pixels with similar structures in the image. For the weight of each pixel, it is calculated by using the Gaussian weighted Euclidean distance between the image sub-block (generally 7×7) centered on it and the sub-block centered on the current pixel, and the weight is set to the negative of this distance Exponential function value. The advantage of this is that when estimating the current pixel value, ...

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Abstract

The invention discloses a pseudo-Zernike moment-based image denoising algorithm, which is realized by a non-local mean denoising algorithm and pseudo-Zernike moment calculation. The pseudo-Zernike moment-based image denoising algorithm disclosed by the invention aims to remove noise better and obtain an image with clear details; and simulation tests indicate that the algorithm not only can effectively remove noise, but also can maintain the edge information of the image, thus obtaining a better denoising effect than that of the traditional non-local mean denoising algorithm.

Description

technical field [0001] The image denoising algorithm based on pseudo-Zernike moments described in the present invention belongs to the field of graphic image technology processing in multimedia information security, and specifically relates to a new method capable of effectively removing noise. Background technique [0002] At present, images are often disturbed by various noises in the process of acquisition, transmission and storage. Therefore, it is an important preprocessing step to use appropriate methods to remove noise before further processing of images. On the one hand, it can effectively suppress noise and provide more accurate information for subsequent processing, such as edge detection, target recognition, etc.; on the other hand, research on denoising methods can help to promote the resolution of other image processing and analysis problems, such as image restoration , image segmentation, etc. [0003] Pseudo-Zernike moment is a shape description operator base...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 王向阳赵丽
Owner LIAONING NORMAL UNIVERSITY
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