A lossless compression scheme for Bayer CFA images

King Hong Chung, Yuk Hee Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In most digital cameras, demosaicing and compression are generally performed sequentially. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of image quality. An efficient lossless compression scheme for Bayer CFA images is presented in this paper. It exploits a context matching technique to rank the neighboring pixels when predicting a pixel. The prediction residue is then encoded with an adaptive coding scheme using Rice code. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with conventional lossless CFA image coding methods.
Original languageEnglish
Title of host publication15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
Pages649-652
Number of pages4
Publication statusPublished - 1 Dec 2007
Event15th European Signal Processing Conference, EUSIPCO 2007 - Poznan, Poland
Duration: 3 Sep 20077 Sep 2007

Conference

Conference15th European Signal Processing Conference, EUSIPCO 2007
CountryPoland
CityPoznan
Period3/09/077/09/07

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this