Title :
Enhanced SLCCA Image Compression
Author :
Zhuang, Xinhua ; Guo, Shu-Mei ; Lee, Wei-Nong
Author_Institution :
Comput. Sci., Missouri Univ., Columbia, MO
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;
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
DOI :
10.1109/MMSP.2006.285349
