Integration of Enhanced Background Filtering and Wavelet Fusion for High Visibility and Detection Rate of Deep Sea Underwater Image of Underwater Vehicle

• Main Authors: Ahmad Shahrizan, Abdul Ghani, Ahmad Fakhri, Ab. Nasir
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/17746/1/fkp-2017-shahrizan-integration%20of%20enhanced%20background.pdf; http://umpir.ump.edu.my/id/eprint/17746/2/fkp-2017-shahrizan-integration%20of%20enhanced%20background1.pdf; http://umpir.ump.edu.my/id/eprint/17746/

This paper presents an enhanced technique for contrast and visibility improvement for deep sea underwater image which is normally used for underwater robot. The proposed technique uses an integration approach of enhanced background filtering and wavelet fusion methods (EBFWF). The novelty lies in th...