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Color Transfer and Colorization based on Textural Properties

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, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : This paper targets two related color manipulation problems: Color transfer for modifying an image colors and colorization for adding colors to a greyscale 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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Benoit Arbelot, Romain Vergne, Thomas Hurtut, Joëlle Thollot. Color Transfer and Colorization based on Textural Properties. [Research Report] RR-8834, INRIA; LJK. 2015. ⟨hal-01246615v3⟩

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