Retinex in Matlab

Brian Funt, Florian Ciurea, and John McCann "Retinex in Matlab," Proceedings of the IS&T/SID Eighth Color Imaging Conference: Color Science, Systems and Applications, 2000, pp 112-121.

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.

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Matlab code

Implementation of McCann99 retinex

Implementation of Frankle-McCann retinex
Test images

Figure 2: (8-bit TIFF synthetic image) input, McCann99 4-iteration output, Frankle-McCann
4-iteration output

Figure 3: (8-bit TIFF synthetic image) input, McCann99 4-iteration output

Figure 5: (16-bit TIFF linear image) input, McCann99 4-iteration output, Frankle-McCann
4-iteration output

Keywords: Retinex, color vision, human vision, color constancy, lightness, dynamic range compression

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