Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

A population-based approach to point-sampling spatial color algorithms

Not Accessible

Your library or personal account may give you access

Abstract

Inspired by the behavior of the human visual system, spatial color algorithms perform image enhancement by correcting the pixel channel lightness based on the spatial distribution of the intensities in the surrounding area. The two visual contrast enhancement algorithms RSR and STRESS belong to this family of models: they rescale the input based on local reference values, which are determined by exploring the image by means of random point samples, called sprays. Due to the use of sampling, they may yield a noisy output. In this paper, we introduce a probabilistic formulation of the two models: our algorithms (RSR-P and STRESS-P) rely implicitly on the whole population of possible sprays. For processing larger images, we also provide two approximated algorithms that exploit a suitable target-dependent space quantization. Those spray population-based formulations outperform RSR and STRESS in terms of the processing time required for the production of noiseless outputs. We argue that this population-based approach, which can be extended to other members of the family, complements the sampling-based approach, in that it offers not only a better control in the design of approximated algorithms, but also additional insight into individual models and their relationships. We illustrate the latter point by providing a model of halo artifact formation.

© 2016 Optical Society of America

Full Article  |  PDF Article
More Like This
QBRIX: a quantile-based approach to retinex

Gabriele Gianini, Andrea Manenti, and Alessandro Rizzi
J. Opt. Soc. Am. A 31(12) 2663-2673 (2014)

Tuning the locality of filtering with a spatially weighted implementation of random spray Retinex

Michela Lecca and Alessandro Rizzi
J. Opt. Soc. Am. A 32(10) 1876-1887 (2015)

GREAT: a gradient-based color-sampling scheme for Retinex

Michela Lecca, Alessandro Rizzi, and Raul Paolo Serapioni
J. Opt. Soc. Am. A 34(4) 513-522 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (13)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (27)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved