Reliable colorization algorithm for images and videos

Dae Young Hyun, Jun Hee Heu, Chang-Su Kim, Sang Uk Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this work, we propose an efficient image and video colorization algorithm. To achieve natural colorization, we first define initial color values and compute their reliabilities. For image colorization, initial colors are assigned by the user interaction. For video colorization, initial colors are transferred from the previous frame and their reliabilities are computed based on the motion information. Then, we formulate an energy function and minimize the function to refine the initial colors. Simulation results show that the proposed algorithm provides more natural colorization results on various images and videos than the conventional algorithms.

Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
Number of pages5
Publication statusPublished - 2009
Event17th European Signal Processing Conference, EUSIPCO 2009 - Glasgow, United Kingdom
Duration: 2009 Aug 242009 Aug 28


Other17th European Signal Processing Conference, EUSIPCO 2009
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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