Title | ||
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A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation |
Abstract | ||
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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 |
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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 Fu | 1 | 354 | 29.09 |
Yinghao Liao | 2 | 201 | 6.56 |
Delu Zeng | 3 | 164 | 11.46 |
Yue Huang | 4 | 317 | 29.82 |
Xiao-ping Zhang | 5 | 951 | 100.51 |
Xinghao Ding | 6 | 591 | 52.95 |