@inproceedings{e061cf496132499992e0a6b87ca89a66,
title = "LLEC: An image coder with low-complexity and low-memory requirement",
abstract = "A Low-complexity and Low-memory Entropy Coder (LLEC) for image compression is proposed in this paper. The two key elements in LLEC are zerotree coding and Golomb-Rice codes. Zerotree coding exploits the zerotree structure of transformed coefficients for higher compression efficiency. Golomb-Rice codes are used to code the remaining coefficients in a VLC/VLI manner for low complexity and low memory. The experimental results show that the compression efficiency of DCT- and DWT-based LLEC outperforms baseline JPEG and EZW at the given bit rates, respectively. When compared with SPIHT, LLEC is inferior by 0.3 dB on average for the tested images but superior in terms of computational complexity and memory requirement. In addition, LLEC has other desirable features such as parallel processing support, ROI (Region Of Interest) coding and as a universal entropy coder for DCT and DWT.",
author = "Debin Zhao and Wen Gao and Shiguang Shan and Chan, \{Y. K.\}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 ; Conference date: 24-10-2001 Through 26-10-2001",
year = "2001",
doi = "10.1007/3-540-45453-5\_128",
language = "英语",
isbn = "3540426809",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "957--962",
editor = "Heung-Yeung Shum and Mark Liao and Shih-Fu Chang",
booktitle = "Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings",
address = "德国",
}