A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reﬂectance Estimation
Abstract—A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reﬂectance Estimation. 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 < Final Year Projects 2016 > 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.
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