An adaptive high-speed lossy data compression

Author

Chen, Oscal T C ; Zhang, Zhen ; Sheu, Bing J.

Author_Institution

Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA

fYear

1992

fDate

24-27 March 1992

Firstpage

349

Lastpage

358

Abstract

An adaptive method for lossy data compression and the associated VLSI architecture have been developed. This scheme does not require a-priori knowledge of the source statistics and codebook training. The codebook is generated on the fly and is constantly updated to capture local textual features of data. The algorithm is proven to reach rate distortion function for memoryless sources. The authors also propose a computing architecture which consists of a vector quantizer and an encoded-data generator. By using this method, a high-speed VLSI processor with good local adaptivity, less complexity and fair compression ratio can be achieved.<>

Keywords

VLSI; data compression; digital signal processing chips; encoding; adaptive method; codebook training; compression ratio; computing architecture; encoded-data generator; high-speed VLSI processor; high-speed lossy data compression; local textual features; memoryless sources; rate distortion function; source statistics; vector quantizer; Computer architecture; Data compression; Decoding; Image coding; Image processing; Rate-distortion; Signal processing; Statistics; Vector quantization; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 1992. DCC '92.

Conference_Location

Snowbird, UT, USA

Print_ISBN

0-8186-2717-4

Type

conf

DOI

10.1109/DCC.1992.227446

Filename

227446