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Climatic and atmospheric phenomena – such as haze, fog and smoke – may lead to deterioration of quality and poor scenic clarity of outdoor images. In computer graphics, the authors can model these images as a linear combination of scene radiance, medium transmission and airlight. Several techniques have been proposed to remove the effects of haze from images using this model. The most effective approach...
Outdoor image and video corrupt easily owing to fog, mist etc. Several techniques have been proposed to overcome these problems. But there is no optimum method as these scenarios are unpredictable and all situations are unique in their own way. Dark channel prior — a new prior-gives a significant prediction about the quantity of airlight that causes haze. Dark channel with contrast controller and...
In this paper, we present a weighted adaptive image defogging method by extracting features in the RGB color channels. We adaptively detect an atmospheric light through undesired fog in the dark channel prior obtained in the YCbCr color channels and generate a transmission map based on the detected atmospheric light. We adaptively remove the fog by applying the color correction algorithm based on...
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