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AUTHOR(S): Nisha Amin, Geeta B, R. L. Raibagkar, G. G. Rajput
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TITLE Single Image Dehazing Using Dark Channel Prior and Type-2 Fuzzy Sets |
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ABSTRACT Images taken in hazy conditions frequently suffer degradation and makes it difficult for identifying objects in the image. Many methods have been put forth for haze removal in the works of literature. Many of them over saturate the images after haze removal and thereby resulting in poor quality images. Images having better edges, brightness, and the ability to keep the original colour of the image must be retrieved. One of the finest algorithms to reduce haze from images is the darkchannel prior technique. This study uses dark-channel prior for fog removal and fuzzy edge detection techniques has been presented to keep the image's edges sharp. Performance evaluation metrics used demonstrate the effectiveness of proposed method. |
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KEYWORDS Hazy image, Dark Channel Prior, atmospheric light, transmission map, Fuzzy edge detection |
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Cite this paper Nisha Amin, Geeta B, R. L. Raibagkar, G. G. Rajput. (2024) Single Image Dehazing Using Dark Channel Prior and Type-2 Fuzzy Sets. International Journal of Signal Processing, 9, 28-34 |
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