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Bibliographic Details
Main Authors: Berthier, Michel, Prencipe, Nicoletta, Provenzi, Edoardo
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2504.15481
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author Berthier, Michel
Prencipe, Nicoletta
Provenzi, Edoardo
author_facet Berthier, Michel
Prencipe, Nicoletta
Provenzi, Edoardo
contents We propose a perceptual chromatic adaptation transform for white balance that makes use of split-quaternions. The novelty of the present work, which is motivated by a recently developed quantum-like model of color perception, consists at stressing the link between the algebraic structures appearing in this model and a certain sub-algebra of the split-quaternions. We show the potentiality of this approach for color image processing applications by proposing a chromatic adaptation transform, implemented via an appropriate use of the split-quaternion multiplication. Moreover, quantitative comparisons with the widely used state-of-the art von Kries chromatic adaptation transform are provided.
format Preprint
id arxiv_https___arxiv_org_abs_2504_15481
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Split-quaternions for perceptual white balance
Berthier, Michel
Prencipe, Nicoletta
Provenzi, Edoardo
Image and Video Processing
Computer Vision and Pattern Recognition
We propose a perceptual chromatic adaptation transform for white balance that makes use of split-quaternions. The novelty of the present work, which is motivated by a recently developed quantum-like model of color perception, consists at stressing the link between the algebraic structures appearing in this model and a certain sub-algebra of the split-quaternions. We show the potentiality of this approach for color image processing applications by proposing a chromatic adaptation transform, implemented via an appropriate use of the split-quaternion multiplication. Moreover, quantitative comparisons with the widely used state-of-the art von Kries chromatic adaptation transform are provided.
title Split-quaternions for perceptual white balance
topic Image and Video Processing
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2504.15481