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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.
Keywords :
Colorization
Color Transfer
Cited literature [29 references]
https://hal.archives-ouvertes.fr/hal-01305596
Contributor : Benoit Arbelot Connect in order to contact the contributor
Submitted on : Thursday, April 21, 2016 - 2:27:27 PM
Last modification on : Tuesday, February 8, 2022 - 9:10:02 AM
Long-term archiving on: : Friday, July 22, 2016 - 12:21:54 PM
Contributor : Benoit Arbelot Connect in order to contact the contributor
Submitted on : Thursday, April 21, 2016 - 2:27:27 PM
Last modification on : Tuesday, February 8, 2022 - 9:10:02 AM
Long-term archiving on: : Friday, July 22, 2016 - 12:21:54 PM
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