Special Section on Retinex at 50

On edge-aware path-based color spatial sampling for Retinex: from Termite Retinex to Light Energy-driven Termite Retinex

[+] Author Affiliations
Gabriele Simone, Roberto Cordone

Universita’ degli Studi di Milano, Department of Computer Science, Via Comelico 39/41, I-20135 Milano, Italy

Raul Paolo Serapioni

University of Trento, Department of Mathematics, Via Calepina 14, I-38122 Trento, Italy

Michela Lecca

Fondazione Bruno Kessler, Center for Information and Communication Technology, Technologies of Vision, Via Santa Croce 77, I-38122 Trento, Italy

J. Electron. Imaging. 26(3), 031203 (Feb 15, 2017). doi:10.1117/1.JEI.26.3.031203
History: Received October 12, 2016; Accepted December 6, 2016
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Abstract.  Retinex theory estimates the human color sensation at any observed point by correcting its color based on the spatial arrangement of the colors in proximate regions. We revise two recent path-based, edge-aware Retinex implementations: Termite Retinex (TR) and Energy-driven Termite Retinex (ETR). As the original Retinex implementation, TR and ETR scan the neighborhood of any image pixel by paths and rescale their chromatic intensities by intensity levels computed by reworking the colors of the pixels on the paths. Our interest in TR and ETR is due to their unique, content-based scanning scheme, which uses the image edges to define the paths and exploits a swarm intelligence model for guiding the spatial exploration of the image. The exploration scheme of ETR has been showed to be particularly effective: its paths are local minima of an energy functional, designed to favor the sampling of image pixels highly relevant to color sensation. Nevertheless, since its computational complexity makes ETR poorly practicable, here we present a light version of it, named Light Energy-driven TR, and obtained from ETR by implementing a modified, optimized minimization procedure and by exploiting parallel computing.

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Citation

Gabriele Simone ; Roberto Cordone ; Raul Paolo Serapioni and Michela Lecca
"On edge-aware path-based color spatial sampling for Retinex: from Termite Retinex to Light Energy-driven Termite Retinex", J. Electron. Imaging. 26(3), 031203 (Feb 15, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.3.031203


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