Single Low-Light Image Enhancement Using Luminance Map

摘要：

　　In this paper,a fast enhancement method based on de-hazing is proposed for single low-light images.Instead of dark channel prior(DCP)used in the de-hazing related literature,the luminance map is used to estimate the global atmospheric light and the transmittance according to the observed similarity between the luminance map and DCP.Through this substitution,on the one hand the computation complexity is greatly reduced; on the other hand the block artifacts is also avoided brought by discontinuous transmittance estimated from DCP.Experimental results indicate that the proposed method has a significant improvement in both enhancement effects and processing speed compared with state-of-art enhancement algorithms.

关键词： Image enhancement Low-light conditions De-hazing Luminance map

作者: Juan Song Liang Zhang Peiyi Shen Xilu Peng Guangming Zhu

作者单位: School of Software,Xidian University,Xian 710071,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 101-110

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）