TY  - EJOU
AU  - Saxena, Gaurav 
AU  - Napte, Kiran 
AU  - Shukla, Neeraj Kumar 
AU  - Parihar, Sushma 

TI  - Optimizing Haze Removal: A Variable Scattering Approach to Transmission Mapping
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2025
VL  - 144
IS  - 2
SN  - 1526-1506

AB  - The ill-posed character of haze or fog makes it difficult to remove from a single image. While most existing methods rely on a transmission map refined through depth estimation and assume a constant scattering coefficient, this assumption limits their effectiveness. In this paper, we propose an enhanced transmission map that incorporates spatially varying scattering information inherent in hazy images. To improve linearity, the model utilizes the ratio of the difference between intensity and saturation to their sum. Our approach also addresses critical issues such as edge preservation and color fidelity. In terms of qualitative as well as quantitative analysis, experimental outcomes show that the suggested framework is more effective than the currently used haze removal techniques.
KW  - Dehazing; ambient light; transmissivity; color diminution and depth refurbishment

DO  - 10.32604/cmes.2025.067530