Enhanced SLCCA Image Compression

Author

Zhuang, Xinhua ; Guo, Shu-Mei ; Lee, Wei-Nong

Author_Institution

Comput. Sci., Missouri Univ., Columbia, MO

fYear

2006

fDate

3-6 Oct. 2006

Firstpage

451

Lastpage

455

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 512times512 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

Keywords

arithmetic codes; data compression; image coding; image sequences; principal component analysis; SLCCA coding technology; arithmetic code; gray-scale natural image; image compression; significance linked connected component analysis; symbol sequence; Clocks; Computer science; Discrete wavelet transforms; Electronic mail; Image analysis; Image coding; Quantization; Wavelet analysis; Wavelet coefficients; Wavelet domain; Discrete wavelet transformation; context based arithmetic coding; extension code; run length coding; significance linked connected component analysis; variable length coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2006 IEEE 8th Workshop on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-9751-7

Electronic_ISBN

0-7803-9752-5

Type

conf

DOI

10.1109/MMSP.2006.285349

Filename

4064599