Automatic System for Improving Underwater Image Contrast and Color Through Recursive Adaptive Histogram Modification

• Main Authors: Ahmad Shahrizan, Abdul Ghani, Mat Isa, Nor Ashidi
• Format: Article
• Language: English
• Published: Elsevier B.V. 2017
• Subjects: S Agriculture (General); SH Aquaculture. Fisheries. Angling; TK Electrical engineering. Electronics Nuclear engineering; TR Photography
• Online Access: http://umpir.ump.edu.my/id/eprint/18464/1/fkp-2017-shahrizan-Automatic%20system%20for%20improving%20underwater1.pdf; http://umpir.ump.edu.my/id/eprint/18464/; http://dx.doi.org/10.1016/j.compag.2017.07.021

Contrast and color are important attributes to extract and acquire much information from underwater images. However, normal underwater images contain bright foreground and dark background areas. Previous enhancement methods enhance the foreground areas but retain darkness and blue-green illumination...