Enhanced SLCCA image compression

Xinhua Zhuang, Shu Mei Guo, Wei Nong Lee

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006
PublisherIEEE Computer Society
Pages451-455
Number of pages5
ISBN (Print)0780397517, 9780780397514
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006 - Victoria, BC, Canada
Duration: 2006 Oct 32006 Oct 6

Publication series

Name2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006

Other

Other2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006
CountryCanada
CityVictoria, BC
Period06-10-0306-10-06

All Science Journal Classification (ASJC) codes

  • Signal Processing

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