Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching

• Main Authors: Mohd Fauzi, Abu Hassan, Ahmad Shahrizan, Abdul Ghani, Dhanesh, Ramachandram, Abduljalil, Radman, Shahrel Azmin, Suandi
• Format: Article
• Language: English; English
• Published: Publishing Technology 2017
• Subjects: TA Engineering (General). Civil engineering (General); TC Hydraulic engineering. Ocean engineering; TK Electrical engineering. Electronics Nuclear engineering; TR Photography
• Online Access: http://umpir.ump.edu.my/id/eprint/19813/1/ASP_Final_V7%20sent%20accepted.pdf; http://umpir.ump.edu.my/id/eprint/19813/7/fkp-2017-shahrizan-Enhancement%20of%20Under-exposed%20image1.pdf; http://umpir.ump.edu.my/id/eprint/19813/; https://doi.org/10.1166/asl.2017.10262

Object tracking through video or image becomes more popular in recent years. Indeed, clear and high contrast images are essential to attain good tracking results. The problem arises when the object in an image or video is under-exposed, resulting it to be hardly visible and differentiated from the b...