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Journal Articles Computers and Graphics Year : 2017

Local texture-based color transfer and colorization


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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Dates and versions

hal-01520729 , version 1 (10-05-2017)



Benoit Arbelot, Romain Vergne, Thomas Hurtut, Joëlle Thollot. Local texture-based color transfer and colorization. Computers and Graphics, 2017, Virtual Special Section on Expressive 2016, 62, pp.15 - 27. ⟨10.1016/j.cag.2016.12.005⟩. ⟨hal-01520729⟩
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