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

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...

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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
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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
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.198132018-01-29T00:57:11Z http://umpir.ump.edu.my/id/eprint/19813/ Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching Mohd Fauzi, Abu Hassan Ahmad Shahrizan, Abdul Ghani Dhanesh, Ramachandram Abduljalil, Radman Shahrel Azmin, Suandi TA Engineering (General). Civil engineering (General) TC Hydraulic engineering. Ocean engineering TK Electrical engineering. Electronics Nuclear engineering TR Photography 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. Publishing Technology 2017-11-01 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19813/1/ASP_Final_V7%20sent%20accepted.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/19813/7/fkp-2017-shahrizan-Enhancement%20of%20Under-exposed%20image1.pdf 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 https://doi.org/10.1166/asl.2017.10262 doi: 10.1166/asl.2017.10262
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TA Engineering (General). Civil engineering (General)
TC Hydraulic engineering. Ocean engineering
TK Electrical engineering. Electronics Nuclear engineering
TR Photography
spellingShingle TA Engineering (General). Civil engineering (General)
TC Hydraulic engineering. Ocean engineering
TK Electrical engineering. Electronics Nuclear engineering
TR Photography
Mohd Fauzi, Abu Hassan
Ahmad Shahrizan, Abdul Ghani
Dhanesh, Ramachandram
Abduljalil, Radman
Shahrel Azmin, Suandi
Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching
description 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.
format Article
author Mohd Fauzi, Abu Hassan
Ahmad Shahrizan, Abdul Ghani
Dhanesh, Ramachandram
Abduljalil, Radman
Shahrel Azmin, Suandi
author_facet Mohd Fauzi, Abu Hassan
Ahmad Shahrizan, Abdul Ghani
Dhanesh, Ramachandram
Abduljalil, Radman
Shahrel Azmin, Suandi
author_sort Mohd Fauzi, Abu Hassan
title Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching
title_short Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching
title_full Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching
title_fullStr Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching
title_full_unstemmed Enhancement of Under-Exposed Image for Object Tracking Algorithm Through Homomorphic Filtering and Mean Histogram Matching
title_sort enhancement of under-exposed image for object tracking algorithm through homomorphic filtering and mean histogram matching
publisher Publishing Technology
publishDate 2017
url 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
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