PrincetonComputer SciencePIXL GroupPublications → [Chang et al. 2015] Local Access
Palette-based Photo Recoloring

ACM Transactions on Graphics (Proc. SIGGRAPH), July 2015

Huiwen Chang, Ohad Fried, Yiming Liu,
Stephen DiVerdi, Adam Finkelstein
Recoloring a photo with our palette-based approach: (a) original, with automatically computed palette below; (b) user changes the green palette color to red, and the system recolors the image to reflect the change; (c-d) user changes multiple colors to make other styles.

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.

Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, and Adam Finkelstein.
"Palette-based Photo Recoloring."
ACM Transactions on Graphics (Proc. SIGGRAPH) 34(4), July 2015.


   author = "Huiwen Chang and Ohad Fried and Yiming Liu and Stephen DiVerdi and Adam
   title = "Palette-based Photo Recoloring",
   journal = "ACM Transactions on Graphics (Proc. SIGGRAPH)",
   year = "2015",
   month = jul,
   volume = "34",
   number = "4"