Retinex Poisson Equation: a Model for Color Perception
Nicolas Limare, Ana Belén Petro, Catalina Sbert, Jean-Michel Morel
→ BibTeX
@article{ipol.2011.lmps_rpe,
    title   = {{Retinex Poisson Equation: a Model for Color Perception}},
    author  = {Limare, Nicolas and Petro, Ana Belén and Sbert, Catalina and Morel, Jean-Michel},
    journal = {{Image Processing On Line}},
    volume  = {1},
    year    = {2011},
    doi     = {10.5201/ipol.2011.lmps_rpe},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{http://dx.doi.org/10.5201/ipol.2011.lmps_rpe}}
published
2011-04-05
reference
Nicolas Limare, Ana Belén Petro, Catalina Sbert, and Jean-Michel Morel, Retinex Poisson Equation: a Model for Color Perception, Image Processing On Line, 1 (2011). http://dx.doi.org/10.5201/ipol.2011.lmps_rpe

Communicated by Vicent Caselles
Demo edited by Jose-Luis Lisani, Nicolas Limare

Abstract

In 1964 Edwin H. Land formulated the Retinex theory, the first attempt to simulate and explain how the human visual system perceives color. Unfortunately, the Retinex Land-McCann original algorithm is both complex and not fully specified. Indeed, this algorithm computes at each pixel an average of a very large set of paths on the image. For this reason, Retinex has received several interpretations and implementations which, among other aims, attempt to tune down its excessive complexity. But, Morel et al. have shown that the original Retinex algorithm can be formalized as a (discrete) partial differential equation. This article describes the PDE-Retinex, a fast implementation of the Land-McCann original theory using only two DFT’s.

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