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Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm
Author(s): Michela Lecca; Carla Maria Modena; Alessandro Rizzi
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Paper Abstract

Milano Retinexes are spatial color algorithms, part of the Retinex family, usually employed for image enhancement. They modify the color of each pixel taking into account the surrounding colors and their position, catching in this way the local spatial color distribution relevant to image enhancement. We present T-Rex (from the words threshold and Retinex), an implementation of Milano Retinex, whose main novelty is the use of the pixel intensity as a self-regulating threshold to deterministically sample local color information. The experiments, carried out on real-world pictures, show that T-Rex image enhancement performance are in line with those of the Milano Retinex family: T-Rex increases the brightness, the contrast, and the flatness of the channel distributions of the input image, making more intelligible the content of pictures acquired under difficult light conditions.

Paper Details

Date Published: 23 December 2017
PDF: 11 pages
J. Electron. Imag. 27(1) 011005 doi: 10.1117/1.JEI.27.1.011005
Published in: Journal of Electronic Imaging Volume 27, Issue 1
Show Author Affiliations
Michela Lecca, Fondazione Bruno Kessler (Italy)
Carla Maria Modena, Fondazione Bruno Kessler (Italy)
Alessandro Rizzi, Univ. degli Studi di Milano (Italy)

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