Correcting blue-shift in single-image dehazing via haze-compensated Von Kries adaptation

Abdullah, Asniyani Nur Haidar and Mohd Rahim, Mohd Shafry and Sim, Hiew Moi and Draman @ Muda, Azah Kamilah and Basori, Ahmad Hoirul and Yudistira, Novanto (2025) Correcting blue-shift in single-image dehazing via haze-compensated Von Kries adaptation. International Journal Of Advanced Computer Science And Applications (IJACSA), 16 (10). pp. 419-425. ISSN 2158-107X

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Abstract

Haze severely degrades image quality by reducing contrast, obscuring details, and introducing a blue-shift color cast caused by atmospheric scattering. Traditional dehazing methods, including prior-based approaches (e.g., DCP, CAP, LPMinVP) and preprocessing techniques (e.g., ICAP WB, Dynamic Gamma), improve visibility but fail to correct hazeinduced color imbalance, resulting in unstable RGB distributions and unnatural tone reproduction. This study proposes the Haze-Compensated Color Von Kries (HCCVK) method, a lightweight and training-free preprocessing strategy that performs color compensation before transmission estimation in single-image dehazing. HCCVK integrates a novel red-channel compensation mechanism with Von Kries chromatic adaptation to mitigate wavelength-dependent haze suppression and stabilize chromatic consistency under varying illumination. Unlike learning-based color correction approaches, HCCVK does not require training data, is computationally efficient, and maintains algorithmic interpretability, making it suitable for practical deployment. The method was evaluated on six benchmark datasets: CHIC, Dense-Haze, I-Haze, O-Haze, SOT, and NH-Haze, covering indoor, outdoor, dense, and non-homogeneous haze scenarios. Experimental results based on the RGB color balance metric (σRGB) show that HCCVK reduces color deviation by approximately 75–92% on CHIC, 80–90% on Dense-Haze, and 82–90% on NH-Haze compared to the widely used DCP, and also outperforms CAP, ICAP WB, Dynamic Gamma, and LPMinVP by producing more compact and stable RGB distributions. These findings demonstrate that HCCVK effectively corrects blue-shift imbalance, preserves luminance consistency, and enhances the color stability of dehazing pipelines.

Item Type:	Article
Uncontrolled Keywords:	Image dehazing, Blue-shift correction, Color compensation, Von Kries adaptation, Preprocessing
Divisions:	Faculty of Information and Communication Technology > Department of Interactive Media
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	23 Feb 2026 02:03
Last Modified:	23 Feb 2026 02:03
URI:	http://eprints.utem.edu.my/id/eprint/29494
Statistic Details:	View Download Statistic

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