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Local texture-based 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.
Cited literature [42 references]
https://hal.inria.fr/hal-01520729
Contributor : Romain Vergne <>
Submitted on : Wednesday, May 10, 2017 - 6:50:21 PM
Last modification on : Tuesday, December 8, 2020 - 10:31:25 AM
Long-term archiving on: : Friday, August 11, 2017 - 1:31:50 PM
Contributor : Romain Vergne <>
Submitted on : Wednesday, May 10, 2017 - 6:50:21 PM
Last modification on : Tuesday, December 8, 2020 - 10:31:25 AM
Long-term archiving on: : Friday, August 11, 2017 - 1:31:50 PM
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