Automatic Texture Guided Color Transfer and Colorization (Unknown language)

in Non-Photorealistic Animation and Rendering ; 21-32
Non-Photorealistic Animation and Rendering

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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Table of contents conference proceedings

The table of contents of the conference proceedings is generated automatically, so it can be incomplete, although all articles are available in the TIB.

A Benchmark Image Set for Evaluating Stylization
Mould, David / Rosin, Paul L. | 2016
Automatic Texture Guided Color Transfer and Colorization
Arbelot, Benoit / Vergne, Romain / Hurtut, Thomas / Thollot, Joëlle | 2016
Art-directed Watercolor Rendered Animation
Montesdeoca, Santiago E. / Seah, Hock-Soon / Rall, Hans-Martin | 2016
Map Style Formalization: Rendering Techniques Extension for Cartography
Christophe, Sidonie / Duménieu, Bertrand / Turbet, Jérémie / Hoarau, Charlotte / Mellado, Nicolas / Ory, Jérémie / Loi, Hugo / Masse, Antoine / Arbelot, Benoit / Vergne, Romain et al. | 2016
Patternista: Learning Element Style Compatibility and Spatial Composition for Ring-based Layout Decoration
Phan, Huy Quoc / Lu, Jingwan / Asente, Paul / Chan, Antoni B. / Fu, Hongbo | 2016
Interactive NPAR: What Type of Tools Should We Create?
Isenberg, Tobias | 2016
Data-Driven Iconification
Liu, Yiming / Agarwala, Aseem / Lu, Jingwan / Rusinkiewicz, Szymon | 2016

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