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Night image enhancement method based on improved genetic algorithm

A genetic algorithm and image enhancement technology, which is applied in the fields of image enhancement, genetic algorithm and image processing, can solve the problem of image color inconsistency genetic algorithm and so on

Inactive Publication Date: 2017-01-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0013] In order to solve the problem of image color incongruity after color image enhancement by current technology and the defect of genetic algorithm in image enhancement

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  • Night image enhancement method based on improved genetic algorithm
  • Night image enhancement method based on improved genetic algorithm
  • Night image enhancement method based on improved genetic algorithm

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0024] Implementation step A: The current image contrast enhancement technology is mainly based on grayscale image processing, if the color image enhancement directly uses the grayscale image enhancement algorithm, the result is not ideal. If the color space is converted, the three related components can be transformed into an uncorrelated chromaticity space, and the enhanced result is better. Through analysis, it is found that the HSI color model can better meet this requirement. Assume that the input low-brightness RGB color image is determined by three hues of red, green and blue. From the RGB color space to the HSI color space, the specific components are solved as follows, and the H component can be obtained by the following formula:

[0025] H = θ i...

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Abstract

The invention firstly provides night image enhancement based on an improved genetic algorithm. The method is suitable for processing a night image with low contrast and low noise, and settles the problems such as confusion, ghost and halo in a traditional image enhancement algorithm. According to the night image enhancement method, an intersected mode is utilized for performing global searching, and linear combination between two chromosomes in the image is defined and enhanced through random selection, thereby ensuring direct searching of an intersecting operator in a parent generation and a filial generation. Particularly, the method comprises the steps of randomly generating chromosomes of which the lengths are brightness grade of an enhanced image; selecting the chromosomes from a current component by means of an appropriate function, and generating the filial generation by means of a genetic algorithm intersected mode and a mutation operator; eliminating the chromosomes which do not satisfy the condition by means of an eliminating algorithm; performing traversal of all chromosomes by means of a searching strategy of the genetic algorithm, if a searching stopping strategy is satisfied, outputting an optimal chromosome, and otherwise, repeating the second step of generating the filial generation until an optical solution is generated and output. Compared with an existing image contrast enhancement method, the night image enhancement method based on improved genetic algorithm is advantageous in that the method well settles image color un-matching after enhancement and defects of the genetic algorithm in image enhancement.

Description

technical field [0001] The invention relates to the fields of computer vision and signal processing, in particular to methods of image enhancement, genetic algorithm and image processing. Background technique [0002] Contrast enhancement technology is a key technology of image enhancement processing, such as some digital film, video surveillance, computer vision processing, etc. Images are often degraded or lose part of the information due to some uncontrollable factors, such as non-professional photo recording, information loss during image conversion, changes in ambient brightness, and equipment used to acquire images. In order to solve these problems, many researchers have proposed image enhancement algorithms with low quality and low brightness. [0003] Traditional image contrast enhancement algorithms are mainly divided into two categories: spatial domain methods and frequency domain methods. Spatial domain methods include: histogram equalization, smoothing filter, ...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10024G06T5/73
Inventor 饶云波刘伟宋佳丽范柏江
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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