Retinex in MATLAB™

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version published as: 

Brian V. Funt, Florian Ciurea, John J. McCann, "Retinex in MATLABTM," J. Electron. Imag. 13(1) (1 January 2004). https://doi.org/10.1117/1.1636761.

Date created: 
2004-01
Abstract: 

Many different descriptions of Retinex methods of lightness computation exist. We provide 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. We also discuss the calibration of input images and the postRetinex processing required to display the output images.

Language: 
English
Document type: 
Article
Rights: 
Rights remain with the authors.
File(s): 
Sponsor(s): 
Natural Sciences and Engineering Research Council of Canada (NSERC)
Statistics: