Enhanced SLCCA image compression

Xinhua Zhuang; Shu Mei Guo; Wei Nong Lee

doi:10.1109/MMSP.2006.285349

Enhanced SLCCA image compression

Xinhua Zhuang, Shu Mei Guo, Wei Nong Lee

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The principle and theory of SLCCA (Significance Linked Connected Component Analysis) coding technology has been further studied in this paper. To enhance SLCCA, we introduce distance-first significance-linked connected component analysis and a combined extension and arithmetic code for symbol sequence. An enhanced SLCCA coding system is constructed. Its PSNR performance is compared with both SLCCA and JPEG2000 on numerous 512×512 gray-scale natural images at three different bit rates, i.e., 0.3, 0.6 and 0.9 bits per pixel. On average, SLCCA+ is superior to SLCCA by 0.45 dB and significantly outperforms JPEG2000 by 3.69 dB. Detailed algorithm and further improvement will be given in a separate paper.

Original language	English
Title of host publication	2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006
Publisher	IEEE Computer Society
Pages	451-455
Number of pages	5
ISBN (Print)	0780397517, 9780780397514
DOIs	https://doi.org/10.1109/MMSP.2006.285349
Publication status	Published - 2006 Jan 1
Event	2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006 - Victoria, BC, Canada Duration: 2006 Oct 3 → 2006 Oct 6

Publication series

Name	2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006

Other

Other	2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006
Country/Territory	Canada
City	Victoria, BC
Period	06-10-03 → 06-10-06

All Science Journal Classification (ASJC) codes

Signal Processing

Access to Document

10.1109/MMSP.2006.285349

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@inproceedings{19ebda6f2de44746854c9db2b81d323e,

title = "Enhanced SLCCA image compression",

abstract = "The principle and theory of SLCCA (Significance Linked Connected Component Analysis) coding technology has been further studied in this paper. To enhance SLCCA, we introduce distance-first significance-linked connected component analysis and a combined extension and arithmetic code for symbol sequence. An enhanced SLCCA coding system is constructed. Its PSNR performance is compared with both SLCCA and JPEG2000 on numerous 512×512 gray-scale natural images at three different bit rates, i.e., 0.3, 0.6 and 0.9 bits per pixel. On average, SLCCA+ is superior to SLCCA by 0.45 dB and significantly outperforms JPEG2000 by 3.69 dB. Detailed algorithm and further improvement will be given in a separate paper.",

author = "Xinhua Zhuang and Guo, {Shu Mei} and Lee, {Wei Nong}",

year = "2006",

month = jan,

day = "1",

doi = "10.1109/MMSP.2006.285349",

language = "English",

isbn = "0780397517",

series = "2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006",

publisher = "IEEE Computer Society",

pages = "451--455",

booktitle = "2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006",

address = "United States",

note = "2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006 ; Conference date: 03-10-2006 Through 06-10-2006",

}

Zhuang, X, Guo, SM & Lee, WN 2006, Enhanced SLCCA image compression. in 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006., 4064599, 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006, IEEE Computer Society, pp. 451-455, 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006, Victoria, BC, Canada, 06-10-03. https://doi.org/10.1109/MMSP.2006.285349

TY - GEN

T1 - Enhanced SLCCA image compression

AU - Zhuang, Xinhua

AU - Guo, Shu Mei

AU - Lee, Wei Nong

PY - 2006/1/1

Y1 - 2006/1/1

N2 - The principle and theory of SLCCA (Significance Linked Connected Component Analysis) coding technology has been further studied in this paper. To enhance SLCCA, we introduce distance-first significance-linked connected component analysis and a combined extension and arithmetic code for symbol sequence. An enhanced SLCCA coding system is constructed. Its PSNR performance is compared with both SLCCA and JPEG2000 on numerous 512×512 gray-scale natural images at three different bit rates, i.e., 0.3, 0.6 and 0.9 bits per pixel. On average, SLCCA+ is superior to SLCCA by 0.45 dB and significantly outperforms JPEG2000 by 3.69 dB. Detailed algorithm and further improvement will be given in a separate paper.

AB - The principle and theory of SLCCA (Significance Linked Connected Component Analysis) coding technology has been further studied in this paper. To enhance SLCCA, we introduce distance-first significance-linked connected component analysis and a combined extension and arithmetic code for symbol sequence. An enhanced SLCCA coding system is constructed. Its PSNR performance is compared with both SLCCA and JPEG2000 on numerous 512×512 gray-scale natural images at three different bit rates, i.e., 0.3, 0.6 and 0.9 bits per pixel. On average, SLCCA+ is superior to SLCCA by 0.45 dB and significantly outperforms JPEG2000 by 3.69 dB. Detailed algorithm and further improvement will be given in a separate paper.

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U2 - 10.1109/MMSP.2006.285349

DO - 10.1109/MMSP.2006.285349

M3 - Conference contribution

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SN - 9780780397514

T3 - 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006

SP - 451

EP - 455

BT - 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006

PB - IEEE Computer Society

T2 - 2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006

Y2 - 3 October 2006 through 6 October 2006

ER -

Enhanced SLCCA image compression

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