Termite Retinex: a new implementation based on a colony of intelligent agents

Gabriele Simone; Giuseppe Audino; Ivar Farup; Fritz Albregtsen; Alessandro Rizzi

doi:10.1117/1.JEI.23.1.013006

17 January 2014 Termite Retinex: a new implementation based on a colony of intelligent agents

Gabriele Simone, Giuseppe Audino, Ivar Farup, Fritz Albregtsen, Alessandro Rizzi

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Journal of Electronic Imaging, Vol. 23, Issue 1, 013006 (January 2014). https://doi.org/10.1117/1.JEI.23.1.013006

Abstract

The original presentation of Retinex, a spatial color correction and image enhancement algorithm modeling the human vision system, as proposed by Land and McCann in 1964, uses paths to explore the image in search of a local reference white point. The interesting results of this algorithm have led to the development of many versions of Retinex. They follow the same principle but differ in the way they explore the image, with, for example, random paths, random samples, convolution masks, and variational formulations. We propose an alternative way to explore local properties of Retinex, replacing random paths by traces of a specialized swarm of termites. In presenting the spatial characteristics of the proposed method, we discuss differences in path exploration with other Retinex implementations. Experiments, results, and comparisons are presented to test the efficacy of the proposed Retinex implementation.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Gabriele Simone, Giuseppe Audino, Ivar Farup, Fritz Albregtsen, and Alessandro Rizzi "Termite Retinex: a new implementation based on a colony of intelligent agents," Journal of Electronic Imaging 23(1), 013006 (17 January 2014). https://doi.org/10.1117/1.JEI.23.1.013006

Published: 17 January 2014

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