Haze Removal Of Underwater Images Using Fusion Technique

Abstract

Problems with water absorption and dispersion, color loss, poor light, and limited vision are some of the main obstacles and restrictions in underwater photography. A fusion-based method is suggested to enhance these photos' quality; specifically, it would employ the Gray world algorithm and CLAHE (Contrast Limited Adaptive Histogram Equalization) to boost color and contrast. The contrast-enhanced, white-balanced, and weight maps are successfully fused using a multi-scale fusion approach to provide a superior picture. This technique greatly improves underwater picture clarity by eliminating haze and increasing visibility.