Literature DB >> 16396021

Mathematical definition and analysis of the retinex algorithm.

Edoardo Provenzi1, Luca De Carli, Alessandro Rizzi, Daniele Marini.   

Abstract

We present a detailed mathematical analysis of the original Retinex algorithm due to Land and McCann [J. Opt. Soc. Am. 61, 1 (1071)]. To this end, we propose an analytic formula that describes the algorithm behavior. More than one Retinex version (e.g., with and without threshold) is examined. The behavior of Retinex varying the number of paths is predicted, and its recursive iterations are mathematically analyzed using the formula. The mathematical setting presented serves as a common ground for the various Retinex implementations. Its validity is confirmed by the tests on images that we have performed.

Mesh:

Year:  2005        PMID: 16396021     DOI: 10.1364/josaa.22.002613

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  3 in total

1.  A neural field model for color perception unifying assimilation and contrast.

Authors:  Anna Song; Olivier Faugeras; Romain Veltz
Journal:  PLoS Comput Biol       Date:  2019-06-07       Impact factor: 4.475

2.  Low-Light Image Enhancement Based on Constraint Low-Rank Approximation Retinex Model.

Authors:  Xuesong Li; Jianrun Shang; Wenhao Song; Jinyong Chen; Guisheng Zhang; Jinfeng Pan
Journal:  Sensors (Basel)       Date:  2022-08-16       Impact factor: 3.847

3.  Realistic Image Rendition Using a Variable Exponent Functional Model for Retinex.

Authors:  Zeyang Dou; Kun Gao; Bin Zhang; Xinyan Yu; Lu Han; Zhenyu Zhu
Journal:  Sensors (Basel)       Date:  2016-06-07       Impact factor: 3.576

  3 in total

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