Blind equalization and image blind restoration method based on DNA (DeoxyriboNucleic Acid) glowworm swarm optimization

A technology of firefly optimization and recovery methods, applied in the field of blind equalization and image blind restoration based on DNA firefly optimization

Inactive Publication Date: 2017-06-13
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

As the complexity and scale of optimization propositions continue to increase, it is difficult to obtain a satisfactory solution using a single intelligent optimization algorithm. Therefore, on the basis of the firefly algorithm, the DNA genetic algorithm is added to become a combination of good global optimization capabilities and comparative It should be a meaningful attempt to apply a new algorithm with a strong ability to jump out of the local optimal solution and apply it to image blind restoration

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  • Blind equalization and image blind restoration method based on DNA (DeoxyriboNucleic Acid) glowworm swarm optimization
  • Blind equalization and image blind restoration method based on DNA (DeoxyriboNucleic Acid) glowworm swarm optimization
  • Blind equalization and image blind restoration method based on DNA (DeoxyriboNucleic Acid) glowworm swarm optimization

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Embodiment Construction

[0073] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0074] Such as figure 1 Shown is the schematic diagram of the blind equalization and image restoration method based on DNA firefly optimization. Specific steps are as follows:

[0075] Step 1, the grayscale image signal a(k 1 ,k 2 ) through the transmission channel h(k 1 ,k 2 ) to get the signal s(k 1 ,k 2 ), 01 ≤K 1 and 02 ≤K 2 is a positive integer, and is the coordinate of the image pixel; Indicates the convolution operation;

[0076] Step 2, the signal s(k) described in step 1 1 ,k 2 ) affected by channel noise n(k 1 ,k 2 ) affects the degraded image signal x(k 1 ,k 2 ), x(k 1 ,k 2 ) is the input signal of the equalizer;

[0077] in,

[0078] Step 3, the input signa...

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Abstract

The invention discloses a blind equalization and image blind restoration method based on DNA (DeoxyriboNucleic Acid) glowworm swarm optimization. The method comprises the following steps that: firstly, utilizing a DNA genetic method to optimize a glowworm population to obtain a DNA glowworm optimization method; then, combining the obtained DNA glowworm optimization method with the image blind restoration method; and taking the global search ability of the DNA glowworm optimization method to optimize the initial weight vector of a blind equalizer, and taking the initial weight vector obtained by optimization as an initial point for updating a blind equalizer weight vector. Update is carried out by taking a blind equalizer weight vector update method, and an image blind restoration effect is improved. In addition, in an image blind restoration process, an image does not need to be subjected to dimension reduction and dimension rising processing, information loss is reduced, an image restoration effect is better, and the method has a high practical value in the technical field of communication.

Description

technical field [0001] The invention relates to the field of blind image restoration, in particular to a method for blind equalization and blind image restoration based on DNA firefly optimization, which belongs to the field of blind image restoration. Background technique [0002] Image restoration is to restore the degraded image from the degraded image, and the image restoration method is crucial to the image restoration quality. In this regard, scholars have done a lot of basic research work, and obtained classic algorithms such as Wiener filtering, constrained least squares, and maximum entropy restoration, but these algorithms are all based on the known point spread function (PSF) as a premise. However, the PSF of the actual image system is generally unknown, and the "specific" PSF and the "specific" original image can only be restored according to the "specific" image observation data, which is the problem of blind image restoration. In the current image blind resto...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N3/00G06N3/12
CPCG06T5/001G06N3/006G06N3/123G06T5/003
Inventor 郭业才陆璐何宽禹胜林
Owner NANJING UNIV OF INFORMATION SCI & TECH
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