Low-illumination color image enhancement method based on adaptive chaotic particle swarm optimization

Abstract

The invention discloses a low-illumination color image enhancement method based on adaptive chaotic particle swarm optimization, and the method comprises the following steps: converting an RGB original image into an L * a * b * color space, and processing an L * channel image through employing a contrast-limited adaptive histogram equalization method; converting the processed L * a * b * space image into an HSV color space through an RGB color space; selecting a gamma correction factor by using an adaptive chaotic particle swarm algorithm, improving the overall brightness of the V-channel image through gamma correction, and stretching the S-channel by using an adaptive stretching function; and finally, inversely converting the HSV color space into an RGB color space to obtain an enhanced color image. Aiming at low-illumination color image enhancement under unbalanced light, the phenomena of low overall brightness, uneven brightness, unclear dark details, low saturation and the like ofthe image can be eliminated, and the problems of excessive enhancement of a local bright area of the image and poor dark detail enhancement effect are solved.

Description

technical field [0001] The invention relates to the technical field of color image processing, in particular to an image enhancement method and system under low illumination conditions. Background technique [0002] In real life, color image enhancement plays a more critical role in digital image processing than grayscale image enhancement, because color images have color representations of three perceptual attributes including hue, saturation, and image intensity. Due to the widespread use of color images in many scenarios, image and video enhancement has become an important research area, and it has been a research hotspot in recent years. One of the problems that often occurs with color images is that due to lighting or some other conditions (such as imaging device limitations and changes in the weather), there are often blurred dark areas of the image, low image contrast, etc., such images first give people It brings visual discomfort and is not conducive to subsequent ...

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Problems solved by technology

[0004]Aiming at color images with uneven illumination and low overall brightness, in order to solve the problem of inconspicuous enhancement of details in dark areas and excessive local bright areas in existing methods during image enhancement Enhancement problem, the present invention proposes a low-illuminance color image enhancement algorithm based on adaptive chaotic particle swarm optimization, which can improve contrast and maintain the natural effect of low-illuminance color images

Effectively improve the problem of low brightness and contrast, low saturation, and unclear image details in low-illuminance color images, and significantly improve the highlight areas in the image

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