基于MSRCR的水下图像清晰化算法

针对水体、悬浮颗粒对光线极强的散射效应导致水下图像细节模糊、对比度下降及颜色失真的问题,在水下光学成像模型的基础上,利用改进的暗通道先验算法对图像进行清晰化处理,并结合MSRCR算法对图像进行颜色恢复,实验结果图像和客观质量评价指标显示,该算法提高了图像清晰度和对比度,并且达到了修正色彩不平衡的效果。

Underwater Image Enhancement Algorithm Based on MSRCR

The higher light scattering effect caused by water and suspended particles may result in fewer feature points,low contrast and color distortion of underwater images. In view of these problems,based on underwater optical imaging model,the image enhancement processing is performed by using improved dark channel prior algorithm,and the image color restoration is performed by combining MSRCR algorithm. The experimental results show that the proposed method can improve the image definition and contrast, and achieve unbalance effect of colorcast correction.