Title
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation
Abstract
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 il...
Year
DOI
Venue
2015
10.1109/TIP.2015.2474701
IEEE Transactions on Image Processing
Keywords
Field
DocType
Lighting,Probabilistic logic,Estimation,Image enhancement,Image color analysis,Mathematical model,Computational modeling
Computer vision,Pattern recognition,Probabilistic method,Artificial intelligence,Rate of convergence,Maximum a posteriori estimation,Logarithm,Probabilistic logic,Reflectivity,Prior probability,Mathematics,Domain model
Journal
Volume
Issue
ISSN
24
12
1057-7149
Citations 
PageRank 
References 
39
1.02
28
Authors
6
Name
Order
Citations
PageRank
Xueyang Fu135429.09
Yinghao Liao22016.56
Delu Zeng316411.46
Yue Huang431729.82
Xiao-ping Zhang5951100.51
Xinghao Ding659152.95