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

Mohd Fauzi, Abu Hassan and Ahmad Shahrizan, Abdul Ghani and Dhanesh, Ramachandram and Abduljalil, Radman and Shahrel Azmin, Suandi (2017) Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching. Advanced Science Letters, 23 (11). pp. 11257-11261. ISSN 1936-6612. (Published)

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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 background. Existing methods are able to solve some of the aforementioned problems, but produce other problems such as over-enhanced effect and color distortion. Thus, the object of interest may become untraceable due to these distortions. This paper proposes an image enhancement method to improve under-exposed images or videos through homomorphic filtering and mean histogram matching, in order to produce more visible and traceable objects. This method integrates homomorphic filtering method and histogram modification technique which consists of histogram matching and dual-histogram stretching. The proposed method is designed to reduce non-uniform illumination while increasing image/video contrast and visibility. The experiment results show that the proposed method outperforms some state-of-the-art methods in terms of visibility and contrast level on some standard benchmark database.

Item Type: Article
Uncontrolled Keywords: Object tracking, under-exposed images, homomorphic filtering, mean histogram matching
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TC Hydraulic engineering. Ocean engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TR Photography
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Dr. Ahmad Shahrizan Abdul Ghani
Date Deposited: 29 Jan 2018 00:57
Last Modified: 29 Jan 2018 00:57
URI: http://umpir.ump.edu.my/id/eprint/19813
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