Termite Retinex
Gabriele Simone, Mauro Fiorentini, Alessandro Rizzi
⚠ This is a preprint. It may change before it is accepted for publication.


The original presentation of Retinex, a spatial color correction and image enhancement algorithm modeling the Human Vision System, uses paths to explore the image in search of a local reference white point. Here we present a spatial color algorithm, called Termite Retinex, with an alternative way to explore local properties of Retinex, replacing random paths with a colony of agents, which uses swarm intelligence to explore the image, determining in this way the locality of its filtering. We show the efficacy of Termite Retinex for unsupervised image enhancement, dynamic range stretching and color correction for digital images.