Conference
Conditional entropy coding of VQ indexes for image compression
Abstract
Vector quantization (VQ) is a source coding methodology with provable rate-distortion optimality. However, despite more than two decades of intensive research, VQ theoretical promise is yet to be fully realized in image compression practice. Restricted by high VQ complexity in dimensions and due to high-order sample correlations in images, block sizes of practical VQ image coders are hardly large enough to achieve the rate-distortion …
Authors
Wu X; Wen J; Wong H
Pagination
pp. 347-356
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 1997
DOI
10.1109/dcc.1997.582058
Name of conference
Proceedings DCC '97. Data Compression Conference
Conference proceedings
Proceedings DCC '98 Data Compression Conference (Cat No98TB100225)
ISSN
2375-0383