Low-Light Image Enhancement Algorithm Based on Improved MSRCP With Chromaticity Preservation

Abstract

In response to the issues of poor sharpness and low information entropy in traditional MSRCP (Multi-Scale Retinex with Color Restoration) algorithms for image enhancement, we propose an improved MSRCP algorithm for low-light image enhancement with chromaticity preservation. First, we replaced the extrema calculation method in the color restoration function with a calculation method based on clipped pixel ratios. Then, we combined guided filtering and Gaussian filtering to calculate the incident component. Finally, we conducted experiments using six different low-light images and compared the results with the traditional MSRCP algorithm, such as SSR, MSR, MSRCR, and MSRCP. The experimental results show that our method improved the sharpness and information entropy values in the five comparison images by 5.6%–35.6% and 0.18%–15.3%, respectively.