National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61501198, 41671377, 41501463]; National Science Foundation of Hubei Province [2014CFB461]; Wuhan Youth Science and Technology Cheuguang program [2014072704011248]
机构署名：
本校为第一且通讯机构
院系归属：
计算机学院
摘要：
In this paper, a novel and effective algorithm is proposed for noise reduction and contrast enhancement in low light images based on luminance map and haze removal model. The proposed method is divided into two steps: i) A combined denoising method using the improved guided filtering based on gradient information and median filtering is proposed to obtain the initial denoised image. ii)Considering that an inverted low light image presents quite similar to a haze image, the haze removal model is used to enhance the denoised low light image. The luminance component L is extracted to obtain the t...
