Color compensation for multi-view video coding based on diversity of cameras

Jun Yan Huo, Yi Lin Chang, Hai Tao Yang, Shuai Wan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A novel color compensation method for multi-view video coding (MVC) is proposed, which efficiently exploits the inter-view dependencies between views with the existence of color mismatch caused by the diversity of cameras. A color compensation model is developed in RGB channels and then extended to YCbCr channels for practical use. A modified inter-view reference picture is constructed based on the color compensation model, which is more similar to the coding picture than the original inter-view reference picture. Moreover, the color compensation factors can be derived in both encoder and decoder, therefore no additional data need to be transmitted to the decoder. The experimental results show that the proposed method improves the coding efficiency of MVC and maintains good subjective quality.

Original languageEnglish
Pages (from-to)1631-1637
Number of pages7
JournalJournal of Zhejiang University: Science A
Volume9
Issue number12
DOIs
StatePublished - Dec 2008

Keywords

  • Color compensation
  • Diversity of cameras
  • H.264/AVC
  • Multi-view video coding (MVC)

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