Abstract
Haze may readily corrupt digital photos acquired in an outside situation, degrading the information communicated. To address this issue, several studies on picture haze reduction have been done, with the technique based on the dark channel prior assumption being regarded the state-of-the-art in recent years. Consolidation of observations is a key component of this strategy. However, the suggested technique takes a theoretical approach to picture degradation, treating the degraded image as a tainted product. To mark the noise severity and ambient light, two maps are created. In terms of color change, the parameters are adjusted using Bat algorithm with a penalty function. The outcomes of the experiments were compared to seven existing methodologies, as well as an examination of algorithm complexity. These studies back up the suggested approach's efficacy, efficiency, flexibility, and theoretical soundness.
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