HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

A Unified Model for Image Colorization

Abstract : This paper addresses the topic of image colorization that consists in converting a gray-scale image into a color one. In the literature, there exist two main types of approaches to tackle this problem. The first one is the manual methods where the color information is given by ome scribbles drawn by the user on the image. The interest of these approaches comes from the interactions with the user that can put any color he wants. Nevertheless, when the scene is complex many cribbles must be drawn and the interactive process becomes tedious and time-consuming. The second category of approaches is the emplar-based methods that require a color image as input. Once the example image is given, the colorization is generally fully automatic. A limitation of these methods is that the example image needs to contain all the desired colors in the final result. In this paper, we propose a new framework that unifies these two categories of approaches into a joint variational model. Our approach is able to take into account information coming from any colorization method among these two categories. Experiments and comparisons emonstrate that the proposed approach provides competitive colorization results compared to state-of-the-art methods.
Document type :
Conference papers
Complete list of metadata

Cited literature [25 references]  Display  Hide  Download

Contributor : Fabien Pierre Connect in order to contact the contributor
Submitted on : Wednesday, July 23, 2014 - 11:59:03 AM
Last modification on : Saturday, March 5, 2022 - 3:18:02 PM
Long-term archiving on: : Tuesday, November 25, 2014 - 2:00:59 PM


Publisher files allowed on an open archive


  • HAL Id : hal-01038055, version 1



Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta. A Unified Model for Image Colorization. CPCV workshop - European Conference on Computer Vision (ECCV), Sep 2014, Zürich, France. pp.1-12. ⟨hal-01038055⟩



Record views


Files downloads