DOIONLINE 
DOIONLINE Publish In |
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI |
 Journal Home Volume Issue |
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Issue |
Volume-8,Issue-1 ( May, 2020 ) | |||||||||
Paper Title |
Image De-hazing Hybrid GGIF and Self Adaptive Deep Learning Technique | |||||||||
Author Name |
Harish Parthasarathy, Sandeep Bhaskar | |||||||||
Affilition |
Dept. of Electronics and Communication Engg., Netaji Subhas Institute of Technology, New Delhi, India | |||||||||
Pages |
9-14 | |||||||||
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 | |||||||||
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