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Volume: 8 | Article ID: art00022
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Retinex in Matlab
Brian Funt
Florian Ciurea
John McCann
  DOI :  10.2352/CIC.2000.8.1.art00022  Published Online :  January 2000
Abstract

Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB implementations of two of the spatial techniques of making pixel comparisons. The code is presented along with test results on several images and a discussion of the results. The paper also discusses the calibration of input images and the post-retinex processing required to display the output images.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CIC.2000.8.1.art00022
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Brian Funt, Florian Ciurea, John McCann, "Retinex in Matlab"  in Proc. IS&T 8th Color and Imaging Conf.,  2000,  pp 112 - 121,  https://doi.org/10.2352/CIC.2000.8.1.art00022

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Copyright © Society for Imaging Science and Technology 2000
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Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(20000101)2000:1L.112;1-
cic_v2000n1/splitsection22.xml
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Articles
Retinex in Matlab
FuntBrian
CiureaFlorian
McCannJohn
01012000
2000
1
112
121
2000
Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB implementations of two of the spatial techniques of making pixel comparisons. The code is presented along with test results on several images and a discussion of the results. The paper also discusses the calibration of input images and the post-retinex processing required to display the output images.