Weakly Illumination Image Enhancement Algorithm in GIS Cavity

Abstract

This paper proposes a dual-frequency image fusion algorithm to address the problem of poor preservation of image naturalness in GIS cavities. Firstly, the low-frequency image is obtained by low-pass filtering, and using an improved illumination estimating algorithm to improve low-frequency image brightness; At the same time, using homomorphic high-pass filtering suppresses the low-frequency components and enhances the high-frequency components of the image, and high-frequency image with increased details and uniform illumination is obtained; Then, linear fusion is used to perform linear fusion on the enhanced high and low-frequency images; Finally, experimental verification was conducted in GIS cavities environment, and the effectiveness of the image enhancement algorithm was verified by comparing multiple image evaluation indicators.