Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images

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

	Pdf Comparative Study on Hyperspectral Image Enhancement for Low.pdf Restricted to Repository staff only Download (462kB) | Request a copy
Preview	Pdf Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images_ABS.pdf Download (47kB) | Preview

Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Enhancement; Hyperspectral; Low illumination
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	08 Dec 2023 04:09
Last Modified:	08 Dec 2023 04:09
URI:	http://umpir.ump.edu.my/id/eprint/39560
Download Statistic:	View Download Statistics

Actions (login required)

View Item