From samples to populations in retinex models

Gabriele Gianini

doi:10.1117/1.JEI.26.3.031206

21 March 2017 From samples to populations in retinex models

Gabriele Gianini

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 3, 031206 (March 2017). https://doi.org/10.1117/1.JEI.26.3.031206

Abstract

Some spatial color algorithms, such as Brownian Milano retinex (MI-retinex) and random spray retinex (RSR), are based on sampling. In Brownian MI-retinex, memoryless random walks (MRWs) explore the neighborhood of a pixel and are then used to compute its output. Considering the relative redundancy and inefficiency of MRW exploration, the algorithm RSR replaced the walks by samples of points (the sprays). Recent works point to the fact that a mapping from the sampling formulation to the probabilistic formulation of the corresponding sampling process can offer useful insights into the models, at the same time featuring intrinsically noise-free outputs. The paper continues the development of this concept and shows that the population-based versions of RSR and Brownian MI-retinex can be used to obtain analytical expressions for the outputs of some test images. The comparison of the two analytic expressions from RSR and from Brownian MI-retinex demonstrates not only that the two outputs are, in general, different but also that they depend in a qualitatively different way upon the features of the image.

Citation Download Citation

Gabriele Gianini "From samples to populations in retinex models," Journal of Electronic Imaging 26(3), 031206 (21 March 2017). https://doi.org/10.1117/1.JEI.26.3.031206

Received: 10 January 2017; Accepted: 6 March 2017; Published: 21 March 2017

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