id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-2242	Liu, Weiqiang; Zhao, Peng; Song, Xiangying; Zhang, Bo	A Survey of Low-light Image Enhancement	2022	5	.pdf	application/pdf	4375	195	49	= 𝐼(𝑥)−𝐴 𝑚𝑎𝑥[𝑡(𝑥),𝑡0] + 𝐴 (3) For low light images the reversal of the figure is similar to the fog on the vision chart to this phenomenon, first will get the similar Low-light image reversal after the reversal of the fog figure image, then the transmittance of the pseudo fog figure estimates and atmospheric light will finally solve the parameters into the formula for image restoration, restoration no fog image, further enhanced by low light images. Keywords: Image enhancement; Low-light image dataset; Deep learning; Generative adversarial networks.	cache/fcis-2242.pdf	txt/fcis-2242.txt