Hue Constrained Image Colorization in the RGB Space

This work proposes a novel variational frame- work for exemplar-based image colorization in RGB while most of existing methods use a luminance-chro- minance space. Using directly these three RGB chan- nels, our model does not need any pre or post-pro- cessing step. We design a primal-dual like algorithm that solves the proposed variational approach. The constraint when colorizing a gray-scale image is to maintain its luminance. In our RGB model this constraint is added in the variational model. Its preservation requires introducing a novel projection scheme that takes care of the hue value (H) of the HSI color-space. The behavior of our algorithm is illustrated on numerous examples, and a qualitative comparison is made with state-of-the-art methods.

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Source https://hal.science/hal-00995724
Author Pierre, Fabien, Aujol, Jean-François, Bugeau, Aurélie, Ta, Vinh-Thong
Maintainer CCSD
Last Updated May 5, 2026, 10:22 (UTC)
Created May 5, 2026, 10:22 (UTC)
Identifier hal-00995724
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Mathématiques de Bordeaux (IMB) ; Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)
creator Pierre, Fabien
date 2014-05-23T00:00:00
harvest_object_id 98c671f4-8538-48f3-b768-b3c44ea38e8a
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-05-26T00:00:00
set_spec type:UNDEFINED