A fast Multi-scale Retinex algorithm using dominant SSR in weights selection
Chan Young Jang, Jae Hwan Lim, Young Hwan Kim · 2012
This paper proposes a novel approach to reduce the operation time in the Multi-scale Retinex (MSR) while preserving the result image quality. Existing MSR algorithms take much time because they have many arithmetic operations. The proposed algorithm uses MSR weights selection algorithm to determine the important Single-scale Retinex (SSR) among the small, middle, and large SSRs. To reduce the operation time, we reduce the MSR weights selection arithmetic operation but have similar weights. And then, we skip SSR operations to reduce the operation time except dominant SSR when one SSR weight is dominant. Finally, we compare the MSR result image with the original image to reduce graying out. In the experiment, the proposed algorithm has 25%, 13% and 204% performance increment compared with benchmark method1, 2 and 3 and similar result image quality compared with conventional methods.