基于HSV空间和梯度下降法的弱光照图像增强算法

Image Enhancement Algorithm for Weak Illumination Based on Hsv Space and Gradient DescentMethod

针对弱光照图像的处理问题,提出一种基于HSV(色调,饱和度,亮度)空间和梯度下降法的弱光照图像增强算法,将图像由RGB空间转换到HSV空间中,保持H通道和S通道不变,对弱光照图像的V通道进行梯度下降法处理,再由HSV空间转换回RGB空间,完成图像增强。实验结果表明,本算法可有效增强图像的细节,保持图像的整体色彩与原始图像一致,提高图像的视觉效果。

Aiming at the problem of weak illumination image processing,a weak llumination image enhancement algorithm based on HsV space and gradient descent method is proposed.The image is converted from RGB space to HSV space,the H channel and s channel remain unchanged,the V channel of weak illumination image is processed by gradient descent method,and then the HSV space is converted back to RGB space to complete image enhancement.Experimental results show that this algorithm can effectively enhance the details of the image,keep the overall color of the image consistent with the original image,and improve the visual effect of the image.