A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation
复制标题
一种同时照明和反射率估计的图像增强概率方法
DOI：
10.1109/tip.2015.2474701
复制
发表时间：
2015-12-01
影响因子：
10.6
通讯作者：
Ding, Xinghao
中科院分区：
文献类型：
--
作者：
Fu, Xueyang;Liao, Yinghao;Ding, Xinghao
本文提出了一种新的基于线性域光照和反射率同时估计的概率图像增强方法。我们表明，线性域模型可以更好地代表先验信息，更好地估计比对数域的反射率和光照。最大后验概率（MAP）制定与照明和反射率的先验。为了有效地估计光照和反射率，采用交替方向乘子法求解最大后验概率问题。实验结果表明，所提出的方法获得了令人满意的性能，以获得视觉上令人愉快的增强效果和良好的收敛速度的反射率和照明。与其他测试方法相比，所提出的方法产生可比或更好的结果，在主观和客观评价。
In this paper, a new probabilistic method for image enhancement is presented based on a simultaneous estimation of illumination and reflectance in the linear domain. We show that the linear domain model can better represent prior information for better estimation of reflectance and illumination than the logarithmic domain. A maximum a posteriori (MAP) formulation is employed with priors of both illumination and reflectance. To estimate illumination and reflectance effectively, an alternating direction method of multipliers is adopted to solve the MAP problem. The experimental results show the satisfactory performance of the proposed method to obtain reflectance and illumination with visually pleasing enhanced results and a promising convergence rate. Compared with other testing methods, the proposed method yields comparable or better results on both subjective and objective assessments.