International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-12,Issue-1  ( May, 2024 )
Statistics report
Jun. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 22
Paper Published : 242
No. of Authors : 695
  Journal Paper


Paper Title :
Image De-hazing Hybrid GGIF and Self Adaptive Deep Learning Technique

Author :Harish Parthasarathy, Sandeep Bhaskar

Article Citation :Harish Parthasarathy ,Sandeep Bhaskar , (2020 ) " Image De-hazing Hybrid GGIF and Self Adaptive Deep Learning Technique " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 9-14, Volume-8,Issue-1

Abstract : Many filters have been developed for haze removal. The latest existing technique is de-hazing by the use of a globally guided image filtering. The main task is to remove haze from the image without hampering its originality. The structure of the image should be color appropriate. For this, a deep learning method (DehazeNet) can be combined with the currently existing GGIF method. The efficiency of the software will be calculated by the use of a performance metric known as perceptual fog density. Keywords - Globally Guided Image Filtering, DehazeNet, Perceptual Fog Density

Type : Research paper

Published : Volume-8,Issue-1


DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-17631   View Here

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