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Automatic Texture Guided Color Transfer and Colorization

Benoit Arbelot 1 Romain Vergne 1 Thomas Hurtut 2 Joëlle Thollot 1
1 MAVERICK - Models and Algorithms for Visualization and Rendering
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : This paper targets two related color manipulation problems: Color transfer for modifying an image's colors and colorization for adding colors to a grayscale image. Automatic methods for these two applications propose to modify the input image using a reference that contains the desired colors. Previous approaches usually do not target both applications and suffer from two main limitations: possible misleading associations between input and reference regions and poor spatial coherence around image structures. In this paper, we propose a unified framework that uses the textural content of the images to guide the color transfer and colorization. Our method introduces an edge-aware texture descriptor based on region covariance, allowing for local color transformations. We show that our approach is able to produce results comparable or better than state-of-the-art methods in both applications.
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Contributor : Benoit Arbelot <>
Submitted on : Thursday, April 21, 2016 - 2:27:27 PM
Last modification on : Tuesday, April 14, 2020 - 5:46:01 PM
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Benoit Arbelot, Romain Vergne, Thomas Hurtut, Joëlle Thollot. Automatic Texture Guided Color Transfer and Colorization. Expressive 2016, May 2016, Lisbonne, Portugal. pp.21-32, ⟨10.2312/exp.20161060⟩. ⟨hal-01305596⟩



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