Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (17): 224-229.

### MSRCR Hybrid Fusion Exposure Imaging Algorithm Based on Multi-scale Weight Assessment

WU Zhuozhao, FAN Kefeng, MO Wei

1. 1.School of Electronic Engineering and Automation, Guilin University of Electronic Science and Technology, Guilin, Guangxi 541004, China
2.China Institute of Electronic Technology Standardization, Beijing 100007, China
• Online:2021-09-01 Published:2021-08-30

### 多尺度权重评估的MSRCR混合曝光成像算法

1. 1.桂林电子科技大学 电子工程与自动化学院，广西 桂林 541004
2.中国电子技术标准化研究院，北京 100007

Abstract:

In order to solve the problem of the loss of details in the low-exposure area and the decrease of visual perception due to the poor color distortion and saturation in the mixed exposure imaging algorithm, a Multi-Scale Retinex with Color Restoration（MSRCR） is proposed based on the multi-scale weight assessment.Firstly, based on the Retinex theory model, the image to be merged is decomposed into brightness component and reflected light component, and the normalized function of illumination compensation is constructed by combining the brightness component and ACES function for processing. The color recovery function is added to the reflected light component to improve the color details.Secondly, the image fusion weight values are designed from the four scales of exposure, saturation, contrast and color gamut, respectively, and the fusion ratio is optimized through multi-scale evaluation.Finally, the Laplacian pyramid fusion algorithm is used for multi-scale weight fusion to obtain the final image.Compared with the traditional image fusion algorithm, the experimental results show that this algorithm has better processing effect, effectively reduces the shadow distortion rate and improves the fidelity of visual information.