A fast reversible compression algorithm for Bayer color filter array images

King Hong Chung; Yuk Hee Chan

A fast reversible compression algorithm for Bayer color filter array images

King Hong Chung, Yuk Hee Chan

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference
Pages	825-828
Number of pages	4
Publication status	Published - 1 Dec 2009
Event	Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan Duration: 4 Oct 2009 → 7 Oct 2009

Conference

Conference	Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009
Country/Territory	Japan
City	Sapporo
Period	4/10/09 → 7/10/09

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Electrical and Electronic Engineering
Communication

Cite this

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title = "A fast reversible compression algorithm for Bayer color filter array images",

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.",

author = "Chung, {King Hong} and Chan, {Yuk Hee}",

year = "2009",

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day = "1",

language = "English",

pages = "825--828",

booktitle = "APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference",

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A fast reversible compression algorithm for Bayer color filter array images. / Chung, King Hong; Chan, Yuk Hee.
APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference. 2009. p. 825-828.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Chan, Yuk Hee

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N2 - 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.

AB - 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.

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M3 - Conference article published in proceeding or book

SP - 825

EP - 828

BT - APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference

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Y2 - 4 October 2009 through 7 October 2009

ER -

A fast reversible compression algorithm for Bayer color filter array images

Abstract

Conference

ASJC Scopus subject areas

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