Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm

Michela Lecca; Carla Maria Modena; Alessandro Rizzi

doi:10.1117/1.JEI.27.1.011005

23 December 2017 Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm

Michela Lecca, Carla Maria Modena, Alessandro Rizzi

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 1, 011005 (December 2017). https://doi.org/10.1117/1.JEI.27.1.011005

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.

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Michela Lecca, Carla Maria Modena, and Alessandro Rizzi "Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm," Journal of Electronic Imaging 27(1), 011005 (23 December 2017). https://doi.org/10.1117/1.JEI.27.1.011005

Received: 26 September 2017; Accepted: 2 December 2017; Published: 23 December 2017

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