A fast reversible compression algorithm for Bayer color filter array images

King Hong Chung, Yuk Hee Chan

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

1 Citation (Scopus)

Abstract

Most digital cameras perform color demosaicing and compression sequentially to yield a color output. Recent reports indicate that the alternative compression-then-demosaicing approach outperforms the demosaicing-then- compression approach in terms of image quality and complexity. This paper presents a fast reversible Bayer image compression algorithm for thealternative approach. A statistic-based prediction is proposed to de-correlate the wavelet subband coefficients. By learning from experiences, the proposed predictor can improve its prediction performance adaptively. A contextbasedGolomb Rice code is then proposed to compress the subband residues. Simulation results show that, as compared with the existing lossless CFA image codingmethods, the proposed algorithm can achieve a low bitrate with lesser computation.
Original languageEnglish
Title of host publicationAPSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference
Pages825-828
Number of pages4
Publication statusPublished - 1 Dec 2009
EventAsia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan
Duration: 4 Oct 20097 Oct 2009

Conference

ConferenceAsia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009
CountryJapan
CitySapporo
Period4/10/097/10/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Communication

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