A high performance lossless bayer image compression scheme

King Hong Chung; Yuk Hee Chan; Chang Hong Fu; Yui Lam Chan

doi:10.1109/ICIP.2007.4379165

A high performance lossless bayer image compression scheme

King Hong Chung
, Yuk Hee Chan
, Chang Hong Fu
, Yui Lam Chan

The Hong Kong Polytechnic University

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

6 Citations (Scopus)

Abstract

Demosaicing and compression are generally performed sequentially in most digital cameras. Recent reports show that the compression-first scheme outperforms the conventional demosaicing-first scheme in terms of image quality and complexity. In this paper, an efficient lossless compression scheme for Bayer images is presented. It exploits a context matching technique to rank the neighboring pixels for predicting a pixel. Besides, an adaptive color difference estimation scheme is also proposed to remove the spectral redundancy. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with the existing lossless CFA image coding methods.

Original language	English
Title of host publication	2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
Volume	2
DOIs	https://doi.org/10.1109/ICIP.2007.4379165
Publication status	Published - 1 Dec 2007
Event	14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States Duration: 16 Sept 2007 → 19 Sept 2007

Conference

Conference	14th IEEE International Conference on Image Processing, ICIP 2007
Country/Territory	United States
City	San Antonio, TX
Period	16/09/07 → 19/09/07

Keywords

Cameras
Color filter array
Image compression

ASJC Scopus subject areas

General Engineering

More information

10.1109/ICIP.2007.4379165

http://hdl.handle.net/10397/1519

Cite this

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title = "A high performance lossless bayer image compression scheme",

abstract = "Demosaicing and compression are generally performed sequentially in most digital cameras. Recent reports show that the compression-first scheme outperforms the conventional demosaicing-first scheme in terms of image quality and complexity. In this paper, an efficient lossless compression scheme for Bayer images is presented. It exploits a context matching technique to rank the neighboring pixels for predicting a pixel. Besides, an adaptive color difference estimation scheme is also proposed to remove the spectral redundancy. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with the existing lossless CFA image coding methods.",

keywords = "Cameras, Color filter array, Image compression",

author = "Chung, \{King Hong\} and Chan, \{Yuk Hee\} and Fu, \{Chang Hong\} and Chan, \{Yui Lam\}",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ICIP.2007.4379165",

language = "English",

isbn = "1424414377",

volume = "2",

booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",

note = "14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",

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T1 - A high performance lossless bayer image compression scheme

AU - Chung, King Hong

AU - Chan, Yuk Hee

AU - Fu, Chang Hong

AU - Chan, Yui Lam

PY - 2007/12/1

Y1 - 2007/12/1

N2 - Demosaicing and compression are generally performed sequentially in most digital cameras. Recent reports show that the compression-first scheme outperforms the conventional demosaicing-first scheme in terms of image quality and complexity. In this paper, an efficient lossless compression scheme for Bayer images is presented. It exploits a context matching technique to rank the neighboring pixels for predicting a pixel. Besides, an adaptive color difference estimation scheme is also proposed to remove the spectral redundancy. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with the existing lossless CFA image coding methods.

AB - Demosaicing and compression are generally performed sequentially in most digital cameras. Recent reports show that the compression-first scheme outperforms the conventional demosaicing-first scheme in terms of image quality and complexity. In this paper, an efficient lossless compression scheme for Bayer images is presented. It exploits a context matching technique to rank the neighboring pixels for predicting a pixel. Besides, an adaptive color difference estimation scheme is also proposed to remove the spectral redundancy. Simulation results show that the proposed algorithm can achieve a better compression performance as compared with the existing lossless CFA image coding methods.

KW - Cameras

KW - Color filter array

KW - Image compression

UR - https://www.scopus.com/pages/publications/48149108420

U2 - 10.1109/ICIP.2007.4379165

DO - 10.1109/ICIP.2007.4379165

M3 - Conference article published in proceeding or book

SN - 1424414377

SN - 9781424414376

VL - 2

BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings

T2 - 14th IEEE International Conference on Image Processing, ICIP 2007

Y2 - 16 September 2007 through 19 September 2007

ER -

A high performance lossless bayer image compression scheme

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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