Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Quan, Lee Yong, Rohana, Abdul Karim, Nurul Wahidah, Arshad, Nor Farizan, Zakaria, Wan Nur Azhani, Wan Samsudin, Yasmin, Abdul Wahab, Saputro, Adhi Harmoko
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
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
http://umpir.ump.edu.my/id/eprint/39560/
https://doi.org/10.1007/978-981-16-8690-0_68
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.39560
record_format eprints
spelling my.ump.umpir.395602023-12-08T04:09:53Z 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 https://doi.org/10.1007/978-981-16-8690-0_68
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
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
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.
format Conference or Workshop Item
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
title 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_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_sort comparative study on hyperspectral image enhancement for low illumination outdoor scenes images
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
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
http://umpir.ump.edu.my/id/eprint/39560/
https://doi.org/10.1007/978-981-16-8690-0_68
_version_ 1822923969996521472
score 13.232414

Similar Items