Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement
One of the main problems encountered in processing the turbid underwater images is the effect of greenish color cast that overshadows the actual color of an object. This paper introduces a new technique which focuses on the enhancement of turbid underwater images. The proposed method integrates two...
| Main Authors: | , , |
|---|---|
| Format: | Book Chapter |
| Language: | English English English |
| Published: |
Springer
2020
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42582/ http://umpir.ump.edu.my/id/eprint/42582/7/Proceedings%20of%20NUSYS%2019.pdf http://umpir.ump.edu.my/id/eprint/42582/13/Red%20and%20Blue%20Channels%20Correction%20based%20on%20Green%20%20ID40%20latest%20sent.pdf http://umpir.ump.edu.my/id/eprint/42582/19/Red%20and%20blue%20channels%20correction%20based%20on%20green%20channel_ABST.pdf |
| _version_ | 1848826650506035200 |
|---|---|
| author | Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof |
| author_facet | Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof |
| author_sort | Kamil Zakwan, Mohd Azmi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | One of the main problems encountered in processing the turbid underwater images is the effect of greenish color cast that overshadows the actual color of an object. This paper introduces a new technique which focuses on the enhancement of turbid underwater images. The proposed method integrates two major steps. The first step is specially designed to reduce the greenish color cast problem. The blue and red channels are improved according to the difference between these channels and the reference channel in terms of the total pixel values. Then, the median-based dual-intensity images fusion approach is applied to all color channels to improve the image contrast. Qualitative and quantitative evaluation is used to test the effectiveness of the proposed method. The results show that the proposed method is very effective in improving the visibility of the turbid underwater images. |
| first_indexed | 2025-11-15T03:48:12Z |
| format | Book Chapter |
| id | ump-42582 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-15T03:48:12Z |
| publishDate | 2020 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-425822024-09-30T03:03:50Z http://umpir.ump.edu.my/id/eprint/42582/ Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography TS Manufactures One of the main problems encountered in processing the turbid underwater images is the effect of greenish color cast that overshadows the actual color of an object. This paper introduces a new technique which focuses on the enhancement of turbid underwater images. The proposed method integrates two major steps. The first step is specially designed to reduce the greenish color cast problem. The blue and red channels are improved according to the difference between these channels and the reference channel in terms of the total pixel values. Then, the median-based dual-intensity images fusion approach is applied to all color channels to improve the image contrast. Qualitative and quantitative evaluation is used to test the effectiveness of the proposed method. The results show that the proposed method is very effective in improving the visibility of the turbid underwater images. Springer 2020-07-08 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42582/7/Proceedings%20of%20NUSYS%2019.pdf pdf en http://umpir.ump.edu.my/id/eprint/42582/13/Red%20and%20Blue%20Channels%20Correction%20based%20on%20Green%20%20ID40%20latest%20sent.pdf pdf en http://umpir.ump.edu.my/id/eprint/42582/19/Red%20and%20blue%20channels%20correction%20based%20on%20green%20channel_ABST.pdf Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof (2020) Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement. In: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019, NUSYS'19. Lecture Notes in Electrical Engineering, 666 (666). Springer, Singapore, pp. 73-86. ISBN 978-981-15-5280-9 https://doi.org/10.1007/978-981-15-5281-6_6 |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography TS Manufactures Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| title | Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| title_full | Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| title_fullStr | Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| title_full_unstemmed | Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| title_short | Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| title_sort | red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/42582/ http://umpir.ump.edu.my/id/eprint/42582/ http://umpir.ump.edu.my/id/eprint/42582/7/Proceedings%20of%20NUSYS%2019.pdf http://umpir.ump.edu.my/id/eprint/42582/13/Red%20and%20Blue%20Channels%20Correction%20based%20on%20Green%20%20ID40%20latest%20sent.pdf http://umpir.ump.edu.my/id/eprint/42582/19/Red%20and%20blue%20channels%20correction%20based%20on%20green%20channel_ABST.pdf |