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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| Format: | Article |
| Language: | English English |
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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 |
| _version_ | 1796992469778300928 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:20:34Z |
| format | Article |
| id | UMPir19813 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:20:34Z |
| publishDate | 2017 |
| publisher | Publishing Technology |
| record_format | dspace |
| spelling | UMPir198132018-01-29T00:57:11Z 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. (Published) https://doi.org/10.1166/asl.2017.10262 doi: 10.1166/asl.2017.10262 |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) TC Hydraulic engineering. Ocean engineering TK Electrical engineering. Electronics Nuclear engineering TR Photography |
| 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 |
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