Deep underwater image enhancement through colour cast removal and optimization algorithm
Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancemen...
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| Format: | Article |
| Language: | English English |
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Taylor & Francis
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42579/1/2019%20-%20Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal%20and%20optimization%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/42579/7/Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal_ABST.pdf |
| _version_ | 1825815906496806912 |
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| author | Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim |
| author_facet | Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim |
| author_sort | Kamil Zakwan, Mohd Azmi |
| collection | UMP |
| description | Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancement (SCSMPE). The RCCGB is designed to minimize the effect of blue–green illumination. This step considers the differences between the red channel and other channels in terms of total pixel values. The second major step, SCSMPE is specifically designed to perform contrast stretching and improve the mean pixel value simultaneously through particle swarm optimization (PSO). Based on the visual observation, the proposed method significantly reduces the effect of the blue–green colour cast and improves the image contrast. Furthermore, the average quantitative values for 300 underwater images also demonstrate the superiority of the proposed method. |
| first_indexed | 2024-09-25T03:52:59Z |
| format | Article |
| id | UMPir42579 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-09-25T03:52:59Z |
| publishDate | 2019 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | UMPir425792024-09-23T01:28:55Z http://umpir.ump.edu.my/id/eprint/42579/ Deep underwater image enhancement through colour cast removal and optimization algorithm Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography ZA4050 Electronic information resources Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancement (SCSMPE). The RCCGB is designed to minimize the effect of blue–green illumination. This step considers the differences between the red channel and other channels in terms of total pixel values. The second major step, SCSMPE is specifically designed to perform contrast stretching and improve the mean pixel value simultaneously through particle swarm optimization (PSO). Based on the visual observation, the proposed method significantly reduces the effect of the blue–green colour cast and improves the image contrast. Furthermore, the average quantitative values for 300 underwater images also demonstrate the superiority of the proposed method. Taylor & Francis 2019-09-13 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42579/1/2019%20-%20Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal%20and%20optimization%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/42579/7/Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal_ABST.pdf Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof and Zuwairie, Ibrahim (2019) Deep underwater image enhancement through colour cast removal and optimization algorithm. The Imaging Science Journal, 67 (6). 330 -342. ISSN 1368-2199 (Printed); 1743-131X. (Published) https://doi.org/10.1080/13682199.2019.1660484 https://doi.org/10.1080/13682199.2019.1660484 |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography ZA4050 Electronic information resources Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim Deep underwater image enhancement through colour cast removal and optimization algorithm |
| title | Deep underwater image enhancement through colour cast removal and optimization algorithm |
| title_full | Deep underwater image enhancement through colour cast removal and optimization algorithm |
| title_fullStr | Deep underwater image enhancement through colour cast removal and optimization algorithm |
| title_full_unstemmed | Deep underwater image enhancement through colour cast removal and optimization algorithm |
| title_short | Deep underwater image enhancement through colour cast removal and optimization algorithm |
| title_sort | deep underwater image enhancement through colour cast removal and optimization algorithm |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography ZA4050 Electronic information resources |
| url | http://umpir.ump.edu.my/id/eprint/42579/1/2019%20-%20Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal%20and%20optimization%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/42579/7/Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal_ABST.pdf |
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