A lossless compression scheme for Bayer CFA images

King Hong Chung; Yuk Hee Chan

A lossless compression scheme for Bayer CFA images

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
Pages	649-652
Number of pages	4
Publication status	Published - 1 Dec 2007
Event	15th European Signal Processing Conference, EUSIPCO 2007 - Poznan, Poland Duration: 3 Sept 2007 → 7 Sept 2007

Conference

Conference	15th European Signal Processing Conference, EUSIPCO 2007
Country/Territory	Poland
City	Poznan
Period	3/09/07 → 7/09/07

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "A lossless compression scheme for Bayer CFA images",

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.",

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

year = "2007",

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AB - 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.

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M3 - Conference article published in proceeding or book

SN - 9788392134022

SP - 649

EP - 652

BT - 15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings

T2 - 15th European Signal Processing Conference, EUSIPCO 2007

Y2 - 3 September 2007 through 7 September 2007

ER -

A lossless compression scheme for Bayer CFA images

Abstract

Conference

ASJC Scopus subject areas

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