DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-7 ( Jul, 2018 ) | |||||||||
Paper Title |
Haze Removal using Computer Vision Technique | |||||||||
Author Name |
Akshada Sunil Thorat, Mugdha M. Dewasthale | |||||||||
Affilition |
PG Scholar, Department of Electronics and Telecommunication MKSSS’s Cummins College of Engineering for Women, Pune, India Professor, Department of Electronics and Telecommunication MKSSS’s Cummins College of Engineering for Women, Pune, India | |||||||||
Pages |
41-46 | |||||||||
Abstract |
On the basis of the dark channel prior (DChP) and guided filter an efficient technique of haze removal proposes in this paper for the single image. The statistics of an open-air haze free picture are the DChP. Depending on keen observation, in many local patches, the intensity of few pixels of open-air haze free pictures is very less in at-least single shading channel. With the help of DChP, the heaviness of haze can be estimated along with the recovery of the high-quality dehaze image. Results on different hazy images reflect the strength of the proposed algorithm. As a byproduct of haze elimination, a depth map having good-quality can be obtained. In addition, the guided filter uses for transmission refinement helps in reduction of time complexity. Keywords - Haze Removal, Dark Channel Prior, Atmospheric Light, Scene Radiance. | |||||||||
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