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Journal of Electronic Imaging • Open Access

Termite Retinex: a new implementation based on a colony of intelligent agents
Author(s): Gabriele Simone; Giuseppe Audino; Ivar Farup; Fritz Albregtsen; Alessandro Rizzi

Paper 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.

Paper Details

Date Published: 17 January 2014
PDF: 14 pages
J. Electron. Imag. 23(1) 013006 doi: 10.1117/1.JEI.23.1.013006
Published in: Journal of Electronic Imaging Volume 23, Issue 1
Show Author Affiliations
Gabriele Simone, Gjøvik Univ. College (Norway)
Giuseppe Audino, Univ. degli Studi di Milano (Italy)
Ivar Farup, Gjøvik Univ. College (Norway)
Fritz Albregtsen, Univ. I Oslo (Norway)
Alessandro Rizzi, Univ. degli Studi di Milano (Italy)

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