Assessment of a Significantly Better Aquatic Underwater Image Improvement Through the BBHE Algorithm
摘要
In this article, we present a useful technique for improving underwater photos that have been damaged by medium absorbing and scattering. Our solution uses a single image technique and lacks technological tools, understanding of the aquatic environment, or scene organization. It expands on the merging of two pictures that are directly derived from a description of the original deteriorated image that has been color-adjusted and white-balanced. In order to encourage the incorporation of edges along color contrast to the output image, both images to fused and their corresponding weight charts are created. Images taken in murky aquatic environments have weak contrast and limited clarity. Therefore, it is necessary to enhance the images obtained from aquatic research and examination efforts so that it may be processed to get the desired information. In this study, a brand-new technique for improving contrast dubbed “brightness-preserving bi-histogram equalization” (BBHE) is put forward. CLAHE significantly contributes to the enhancement of brightness in aquatic photos.