Special Section on Retinex at 50

SLMRACE: a noise-free RACE implementation with reduced computational time

[+] Author Affiliations
Juliet Chauvin, Edoardo Provenzi

Université Paris Descartes, MAP5, 45 rue de Saints-Pères, Paris 75006, France

J. Electron. Imaging. 26(3), 031202 (Feb 15, 2017). doi:10.1117/1.JEI.26.3.031202
History: Received September 30, 2016; Accepted December 6, 2016
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Abstract.  We present a faster and noise-free implementation of the RACE algorithm. RACE has mixed characteristics between the famous Retinex model of Land and McCann and the automatic color equalization (ACE) color-correction algorithm. The original random spray-based RACE implementation suffers from two main problems: its computational time and the presence of noise. Here, we will show that it is possible to adapt two techniques recently proposed by Banić et al. to the RACE framework in order to drastically decrease the computational time and noise generation. The implementation will be called smart-light-memory-RACE (SLMRACE).

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Citation

Juliet Chauvin and Edoardo Provenzi
"SLMRACE: a noise-free RACE implementation with reduced computational time", J. Electron. Imaging. 26(3), 031202 (Feb 15, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.3.031202


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