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Effectiveness proving method of image denoising algorithm based on hybrid wavelet transformation

A technique of wavelet transform and validity, applied in the field of computer image processing

Inactive Publication Date: 2013-12-04
NORTHWEST A & F UNIV
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Problems solved by technology

Scholars have proposed many methods to filter the wavelet coefficients of the image by optimizing the threshold in order to achieve the purpose of denoising, but these methods rarely combine multiple methods to make full use of their respective denoising advantages.

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  • Effectiveness proving method of image denoising algorithm based on hybrid wavelet transformation
  • Effectiveness proving method of image denoising algorithm based on hybrid wavelet transformation
  • Effectiveness proving method of image denoising algorithm based on hybrid wavelet transformation

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the drawings.

[0041] Such as figure 1 As shown, the image denoising algorithm based on hybrid wavelet transform needs to complete two operations at a macro level: mapping from image space to encoding space and restoring from encoding space to image space, which is called encoding and decoding. In the image space, two parental images are mainly obtained; the specific selection, hybridization and mutation operations are completed in the coding space. According to the respective advantages of the two parents, the selection operation, hybridization operation and mutation operation are used to compare the parents through the fitness value. Iterative operations are performed until the offspring that meets the constraints are obtained; finally, the superior offspring is restored to the image space, and an image of offspring with two parental dominant genes is obtained.

[0042] Such as figure 2 As shown, ...

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Abstract

The invention discloses an effectiveness proving method of an image denoising algorithm based on hybrid wavelet transformation, and aims to analyze code completeness and convergence of the algorithm from the perspective of the mathematical theory. The technical scheme includes that firstly, images after wavelet transformation and other filter processing serve as a male parent and a female parent of an initial population of hybrid wavelet transformation respectively, secondly, codes of pixel matrixes of gray images of the male parent and the female parent are transformed to form a space set Vn, thirdly, the Vn is proved to be a complete metric space, namely, the codes are complete, and finally, the convergence of the algorithm is proved. When the convergence is proved, firstly, the fact that two random individuals in a population space can be achieved by the aid of hybridization and mutation operation is proved, secondly, the fact that the population space generated by the algorithm is monotonous is proved, and finally, the fact that the algorithm is convergent is indicated. The effectiveness proving method is applicable to proving effectiveness of the image denoising algorithm based on hybrid wavelet transformation.

Description

Technical field [0001] The invention relates to the technical field of computer image processing, in particular to a method for proving the validity of an image denoising algorithm based on hybrid wavelet transform. In the process of image acquisition, transmission, scanning, and storage, it is often interfered and affected by various noises, resulting in image quality degradation, which affects the visual effect of subsequent image processing. The method proposed by the present invention allows users to verify images. Whether the noise algorithm is correct and reasonable to eliminate noise, it is suitable for image denoising algorithm based on hybrid wavelet transform. Background technique [0002] Since the 1980s, wavelet transform has been widely used in signal and image denoising. Scholars have proposed a lot of methods to filter the wavelet coefficients of the image through the optimal threshold to achieve the purpose of denoising, but these methods rarely combine multiple ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T9/00
Inventor 杨福增刘琼王元杰刘志杰潘冠廷张梦芸
Owner NORTHWEST A & F UNIV
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