Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images
Hyperspectral image is rich with information because it contains spatial and spectral properties of specific objects. However, the image quality may be affected by low lighting conditions caused by non-uniform illumination environments, uncontrollable weather, which tends to darken outdoor scenes. D...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39560/1/Comparative%20Study%20on%20Hyperspectral%20Image%20Enhancement%20for%20Low.pdf http://umpir.ump.edu.my/id/eprint/39560/2/Comparative%20study%20on%20hyperspectral%20image%20enhancement%20for%20low%20illumination%20outdoor%20scenes%20images_ABS.pdf |
| _version_ | 1825815317869232128 |
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| author | Quan, Lee Yong Rohana, Abdul Karim Nurul Wahidah, Arshad Nor Farizan, Zakaria Wan Nur Azhani, Wan Samsudin Yasmin, Abdul Wahab Saputro, Adhi Harmoko |
| author_facet | Quan, Lee Yong Rohana, Abdul Karim Nurul Wahidah, Arshad Nor Farizan, Zakaria Wan Nur Azhani, Wan Samsudin Yasmin, Abdul Wahab Saputro, Adhi Harmoko |
| author_sort | Quan, Lee Yong |
| collection | UMP |
| description | Hyperspectral image is rich with information because it contains spatial and spectral properties of specific objects. However, the image quality may be affected by low lighting conditions caused by non-uniform illumination environments, uncontrollable weather, which tends to darken outdoor scenes. Difficulty arises for high order image processing modalities such as detection, classification and tracking. In this paper, a comparative study was conducted to identify the most appropriate enhancement method for outdoor scenes. Four techniques were investigated: Bio-Inspired Multi-Exposure Fusion (BIMEF), Dehazing, Illumination Estimation, and Multi-deviation Fusion (MF). Experiments revealed that BIMEF is the best approach with the lowest lightness of error. |
| first_indexed | 2024-03-06T13:11:43Z |
| format | Conference or Workshop Item |
| id | UMPir39560 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:11:43Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | UMPir395602023-12-08T04:09:53Z http://umpir.ump.edu.my/id/eprint/39560/ Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images Quan, Lee Yong Rohana, Abdul Karim Nurul Wahidah, Arshad Nor Farizan, Zakaria Wan Nur Azhani, Wan Samsudin Yasmin, Abdul Wahab Saputro, Adhi Harmoko T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Hyperspectral image is rich with information because it contains spatial and spectral properties of specific objects. However, the image quality may be affected by low lighting conditions caused by non-uniform illumination environments, uncontrollable weather, which tends to darken outdoor scenes. Difficulty arises for high order image processing modalities such as detection, classification and tracking. In this paper, a comparative study was conducted to identify the most appropriate enhancement method for outdoor scenes. Four techniques were investigated: Bio-Inspired Multi-Exposure Fusion (BIMEF), Dehazing, Illumination Estimation, and Multi-deviation Fusion (MF). Experiments revealed that BIMEF is the best approach with the lowest lightness of error. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39560/1/Comparative%20Study%20on%20Hyperspectral%20Image%20Enhancement%20for%20Low.pdf pdf en http://umpir.ump.edu.my/id/eprint/39560/2/Comparative%20study%20on%20hyperspectral%20image%20enhancement%20for%20low%20illumination%20outdoor%20scenes%20images_ABS.pdf Quan, Lee Yong and Rohana, Abdul Karim and Nurul Wahidah, Arshad and Nor Farizan, Zakaria and Wan Nur Azhani, Wan Samsudin and Yasmin, Abdul Wahab and Saputro, Adhi Harmoko (2022) Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 773-784., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 (Published) https://doi.org/10.1007/978-981-16-8690-0_68 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Quan, Lee Yong Rohana, Abdul Karim Nurul Wahidah, Arshad Nor Farizan, Zakaria Wan Nur Azhani, Wan Samsudin Yasmin, Abdul Wahab Saputro, Adhi Harmoko Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| title | Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| title_full | Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| title_fullStr | Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| title_full_unstemmed | Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| title_short | Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| title_sort | comparative study on hyperspectral image enhancement for low illumination outdoor scenes images |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/39560/1/Comparative%20Study%20on%20Hyperspectral%20Image%20Enhancement%20for%20Low.pdf http://umpir.ump.edu.my/id/eprint/39560/2/Comparative%20study%20on%20hyperspectral%20image%20enhancement%20for%20low%20illumination%20outdoor%20scenes%20images_ABS.pdf |
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