Citation

Mat Desa, Shahbe and Mohd Isa, Wan Noorshahida and Gomez-Krämer, Petra and Roslee, Mardeni and Hashim, Noramiza and Abdullah, Junaidi and Ali, Aziah and Che Embi, Zarina and Ibrahim, Amalina (2024) Towards No Shadow: Region-based Shadow Compensation on Low-altitude Urban Aerial Images. In: 2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA), 03-05 September 2024, Kuala Lumpur, Malaysia.

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Abstract

Low-altitude aerial images contain multiple shadowed regions, and a shadowed region frequently covers several non-homogenous regions of objects and surfaces. Using the information of neighboring shadow-free regions, a shadowed region can be efficiently compensated with reliable output. In this paper, using the transfer of statistical color properties, a new region-based shadow compensation approach is proposed. The proposed method demonstrates a significant improvement in the overall color mean of shadowed regions, increasing from 76.49 to 141.67, nearing the value of 172.51 observed in shadow-free regions. Additionally, the overall standard deviation of the shadowed region also improves from 31.01 to 43.29, approximately 93.68% matching the 46.21 standard deviation observed in the shadow-free region. The visual results are comparable to those achieved by state-of-the-art deep-learning methodologies and are reasonably acceptable for challenging aerial urban environments.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	shadow compensation, low-altitude, aerial images, HSV color transfer
Subjects:	T Technology > TR Photography
Divisions:	Faculty of Computing and Informatics (FCI) Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Nov 2024 02:21
Last Modified:	04 Nov 2024 02:22
URII:	http://shdl.mmu.edu.my/id/eprint/13135

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