Palette-based photo recoloring
Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein
In ACM Transactions on Graphics (TOG), 34(4), August 2015.
Abstract: Image editing applications offer a wide array of tools for color manipulation. Some of these tools are easy to understand but offer a limited range of expressiveness. Other more powerful tools are time consuming for experts and inscrutable to novices. Researchers have described a variety of more sophisticated methods but these are typically not interactive, which is crucial for creative exploration. This paper introduces a simple, intuitive and interactive tool that allows non-experts to recolor an image by editing a color palette. This system is comprised of several components: a GUI that is easy to learn and understand, an efficient algorithm for creating a color palette from an image, and a novel color transfer algorithm that recolors the image based on a user-modified palette. We evaluate our approach via a user study, showing that it is faster and easier to use than two alternatives, and allows untrained users to achieve results comparable to those of experts using professional software.
@article{10.1145-2766978,
author = {Huiwen Chang and Ohad Fried and Yiming Liu and Stephen DiVerdi and Adam Finkelstein},
title = {Palette-based photo recoloring},
journal = {ACM Transactions on Graphics (TOG)},
volume = {34},
number = {4},
articleno = {139},
month = aug,
year = {2015},
}
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