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Conference Papers Year : 2016

Automatic Texture Guided Color Transfer and Colorization

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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Dates and versions

hal-01305596 , version 1 (21-04-2016)

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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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