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IJSTR >> Volume 9 - Issue 10, October 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Image Enhancement Of Foggy Images Using Hybrid Method Based On Dark Channel Prior

[Full Text]

 

AUTHOR(S)

Er. Ashutosh Sharma, Dr. Nirupama Tiwari

 

KEYWORDS

Dark Channel Prior, Image Dehazing, Biliteral Filter, Image Reconstruction, Transmission Image, Homomorphic Filter, Canny Edge Detection, NPEA.

 

ABSTRACT

The movement of atmospheric particles, which decreases contrast, changes color as well as atmospheric particles difficult to identify by human vision as well as some outdoor computer vision devices, will be used in images captured in hazy or foggy weather conditions. Image dehazing is thus an important issue and has been widely explored in computer vision. The task of image dehazing is to remove weather factors' impact to enhance the image's visual effects and to gain post-processing. We were using a pre-method of dark channels to dehaze images and NPEA to increase the image's naturalness or edge detection to detect edges.

 

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