Title
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.
Year
DOI
Venue
2016
10.5555/2981324.2981328
Proceedings of the Joint Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering
DocType
ISBN
Citations 
Conference
978-1-4503-1649-1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
B. Arbelot100.34
Romain Vergne2999.68
Thomas Hurtut312912.02
Joëlle Thollot474537.34