Underwater Image Enhancement Using Customized CLAHE and Adaptive Color Correction

作     者：Mousa Alhajlah 

作者机构：College of Applied Computer ScienceKing Saud UniversityRiyadhSaudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第74卷第3期

页      面：5157-5172页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Researchers Supporting Project Number(RSP2022R458) King Saud University Riyadh Saudi Arabia 

主　　题：Enhancement color diminishing contrast fusion technique color balancing technique CLAHE dark channel prior 

摘      要：Underwater images degraded due to low contrast and visibility ***,it is important to enhance the images and videos taken in the underwater environment before *** is a way to improve or increase image quality and to improve the contrast of degraded *** original image or video which is captured through image processing devices needs to improve as there are various issues such as less light available,low resolution,and blurriness in underwater images caused by the normal *** researchers have proposed different solutions to overcome these *** channel prior(DCP)is one of the most used techniques which produced a better Peak Signal to Noise Ratio(PSNR)***,DCP has some issues such as it tends to darken images,reduce contrast,and produce halo *** proposed method solves these issues with the help of contrast-limited adaptive histogram equalization(CLAHE)and the Adaptive Color Correction *** proposed method was assessed using Japan Agency for Marine-Earth Science and Technology(JAMSTEC),and some images were collected from the *** measure of entropy(MOE),Measure of Enhancement(EME),Mean Square Error(MSE),and PSNR opted as performance measures during *** values of MSE and PSNR achieved by the proposed framework are 0.26 and 32 respectively which shows better results.