T-Rex: A Milano Retinex Implementation Based on Intensity Thresholding

  • Michela Lecca
  • Carla M. Modena
  • Alessandro Rizzi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10213)

Abstract

We present T-Rex (from the words Threshold and REtineX), a new Milano Retinex implementation, based on an intensity thresholding strategy. Like all the algorithms of the Retinex family, T-Rex takes as input a color image and processes its channels separately. For each channel, T-Rex re-scales the chromatic intensity of each pixel x by the average of a set of pixels whose intensity, weighted by a function of the distance from x, exceeds the intensity of x. The main novelty of this approach is devised by the usage of the pixel intensity as a threshold for selecting the pixels relevant to Retinex. Here we show an application of T-Rex as image enhancer, showing that, as a member of the Retinex family, it equalizes the dynamic range of any input picture and makes its details more evident.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Michela Lecca
    • 1
  • Carla M. Modena
    • 1
  • Alessandro Rizzi
    • 2
  1. 1.Center for Information and Communication Technology, Technologies of VisionFondazione Bruno KesslerTrentoItaly
  2. 2.Dipartimento di InformaticaUniversitá degli Studi di MilanoMilanoItaly

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