An Underwater Color Image Enhancement Model Based on Comprehensive Processing

Abstract

The propagation of light in water is affected by the absorption of water and the scattering of particles in water, which leads to the problems of low contrast, blur, color distortion and so on, the traditional underwater image enhancement algorithm is prone to over compensation of red component. In view of the above problems, an underwater color image enhancement method based on comprehensive processing is proposed. Firstly, the improved preprocessing method is used to equalize the color of the image through the bright channel and the blue-green channel of the underwater image, and stretch the hue and saturation components in the HSV color space to eliminate the color distortion of the underwater image and compensate the color attenuation; Secondly, contrast limited adaptive histogram equalization is used to improve image contrast; Then, sharpening is used to enhance image edge, improve the image clarity and visual effect; Finally, the sharpened image is smoothed by guided filtering. The experimental results show that the contrast and clarity of the underwater image are effectively improved and the problem of color distortion is solved.