Date of Publication :31st December 2017

Abstract: A comparison with existing methods shows that the proposed method performs better in terms of both processing time and quality Haze is a common natural phenomenon in our daily life caused by the atmospheric absorption and scattering. When haze appears, we always capture the photographs with low contrast and lack of clarity. The low-quality images caused by haze usually degrade the performances of various image processing and video analysis algorithms, such as face recognition, object tracking and intelligent surveillance. The dehazing technique can eliminate the bad effect of haze on images and enhance the performances of image/video processing algorithm in the hazy weather. The present project work is to enhance the visibility, saturation, contrast and reduce the noise in a foggy image. I propose a method that uses the single frame for enhancing foggy images using multilevel transmission map. The method is fast and free from noise or artifacts that generally arise in such enhancement techniques.

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