IPOL Journal · Retinex Poisson Equation: a Model for Color Perception (original) (raw)

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.

Download

• full text manuscript:PDF low-res. (470K) PDF (6.4M) [?]
• source code:TAR/GZ
  Software Heritage Archive

Preview

Loading takes a few seconds. Images and graphics are degraded here for faster rendering. See the downloadable PDF documents for original high-quality versions.

History

• this article was converted to PDF on 2015-07-06
• the original version was published on 2011-04-05:manuscript,source code
• the source code was modified on 2020-11-25 to remove undue compilation flag -Werror from the makefile. The previous version of the code is available here
• Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.