International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
May. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
Haze Removal using Computer Vision Technique

Author :Akshada Sunil Thorat, Mugdha M. Dewasthale

Article Citation :Akshada Sunil Thorat ,Mugdha M. Dewasthale , (2018 ) " Haze Removal using Computer Vision Technique " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 41-46, Volume-6,Issue-7

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.

Type : Research paper

Published : Volume-6,Issue-7


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