Journal
IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume 24, Issue 12, Pages 4965-4977Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2015.2474701
Keywords
Image enhancement; illumination; reflectance; optimization methods; maximum posterior probability (MAP)
Funding
- National Natural Science Foundation of China [30900328, 61172179, 61103121, 81301278, 61571382, 61571005]
- Fundamental Research Funds for the Central Universities [20720150169, 20720150093]
- Natural Science Foundation of Fujian Province of China [2012J05160]
- Research Fund for the Doctoral Program of Higher Education [20120121120043]
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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 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.
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