id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_hxjlxrsjcfdz7lytmfu2lxbfka	Sunita Shukla	Image Dehazing Technique Based On DWT Decomposition and Intensity Retinex Algorithm	2019.0	7	.pdf	application/pdf	2218	302	62	Image Dehazing Technique Based On DWT Decomposition and remove haze from a single input image. adopting the median filter prior and the new haze imaging model. the transmission map using the distance information instead the color information is a crucial point in image enhancement and especially single image haze removal. Keywords : AF: Adaptive filter, AHE: Adaptive Histogram Equalization, LOE: Lightness Order Error Image dehazing and enhancement is had better color visual and haze-free image when it denotes the origin haze-free image(also called scene Then the haze-free image could be estimated: after the restoration of haze-free image, the intensity Histogram analysis of test image Crop Test image Crop RGB to HSI with haze Test image Crop with histogram Enhanced test image Crop more accuracy in image enhancement process there is for image dehazing based on DWT Decomposition Joonki Paik, Haze Image Enhancement Using Image Enhancement Algorithm using Camera Silky Pareyani, "Image Dehazing 	./cache/work_hxjlxrsjcfdz7lytmfu2lxbfka.pdf	./txt/work_hxjlxrsjcfdz7lytmfu2lxbfka.txt