Image De-Hazing based on Krill Herd Optimization Algorithm
Keywords:
De-Hazing, Krill Herd Optimization algorithm, Noise filteringAbstract
In digital images, haze damages the image quality which are taken in outdoor environment. This causes the degradation of image quality in terms of colour distortion and there exists a huge loss in the contrast. Because of the difficulty and importance of the problem, a lot of study has been done on picture de-hazing. A significant number of approaches were done based on dark channel prior shows successful results among picture haze removal approaches. Furthermore, the addition of a guided filter has greatly improved its efficiency. To address this issue, an optimization approach-based Image-Dehazing technique is applied in this research paper. It generates pixel-wised transmission without additional refining. Furthermore, image de-hazing procedures based on noise filtering perspective are used to achieve the goal of saturation enhancement while adhering to the minimum hue change constraint. The usefulness and efficiency of the suggested algorithm were evaluated by qualitative and quantitative analysis of the results.
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