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.

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

Lecca, Michela;Modena, Carla Maria;
2017-01-01

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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/309675
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