Efficient Retinex-Based Low-Light Image Enhancement Through Adaptive Reflectance Estimation and LIPS Postprocessing
In this paper,a novel Retinex-based low-light image enhancement method is proposed,in which it has two parts: reflectance component estimation and logarithmic image processing subtraction(LIPS)enhancement.The enhancement processing is performed in the V channel of the color HSV space.First,adaptive parameter bilateral filters are used to get more accurate illumination layer data,instead of Gaussian filter.Moreover,the weighting estimation method is used to calculate the adaptive parameter to adjust the removal of the illumination and obtain the reflectance by just-noticeable-distortion(JND)factor.In this way,it can effectively prevent the over-enhancement in high-brightness regions.Then,the logarithmic image processing subtraction(LIPS)method based on maximum standard deviation of the histogram is applied to enhance reflectance component part,where the interval of the parameter is according to the cumulative distribution function(CDF).Experimental results demonstrate that the proposed method outperforms other competitive methods in terms of subjective and objective assessment.
Reflectance estimation Logarithmic image processing subtraction Just-noticeable-distortion Maximum standard deviation
Weiqiong Pan Zongliang Gan Lina Qi Changhong Chen Feng Liu
Jiangsu Provincial Key Lab of Image Processing and Image Communication,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
国际会议
广州
英文
335-346
2018-11-23（万方平台首次上网日期，不代表论文的发表时间）