基于改进Retinex算法的低照度图像增强

Low Illumination Image Enhancement Based on Improved Retinex Algorithm

通过对比不同图像增强算法,针对传统图像增强算法无法兼顾色彩、细节以及纹理的同步处理等问题,文章提出一种MSRCR-HIS图像增强算法,融合直方图转换法与MSRCR算法的优势,并将处理后的图像与原始图像进行融合以保留原图细节信息,通过验证,文章提出的算法与经典算法相比,能够有效地改善图像的呈现效果,有利于后续各项实验操作。

By comparing different image enhancement algorithms,aiming at the problems that traditional image enhancement algorithms can not take into account the synchronous processing of color,detail and texture,this paper proposes a MSRCR-HIS image enhancement algorithm,which combines the advantages of histogram conversion method with MSRCR algorithm,and fuses the processed image with the original image to retain the details of the original image information.Through verification,compared with the classical algorithm,the algorithm proposed in this paper can effectively improve the rendering effect of images,and it is conducive to subsequent experimental operations.