Compression of two-dimensional data
IEEE Transactions on Information Theory
Elements of information theory
Elements of information theory
Online adaptive vector quantization with variable size codebook entries
Information Processing and Management: an International Journal - Special issue: data compression
Error-Resilient Optimal Data Compression
SIAM Journal on Computing
Information Sciences: an International Journal - Dictionary based compression
Experiments with Single-Pass Adaptive Vector Quantization
DCC '99 Proceedings of the Conference on Data Compression
2D-Pattern Matching Image and Video Compression
DCC '99 Proceedings of the Conference on Data Compression
The Prevention of Error Propagation in Dictionary Compression with Update and Deletion
DCC '98 Proceedings of the Conference on Data Compression
Overlap in Adaptive Vector Quantization
DCC '01 Proceedings of the Data Compression Conference
Hadamard transform based fast codeword search algorithm for high-dimensional VQ encoding
Information Sciences: an International Journal
Multiuser-based shadow watermark extraction system
Information Sciences: an International Journal
A new measure of index assignment in dynamic channels
Information Sciences: an International Journal
Joint coding and embedding techniques for multimedia images
Information Sciences: an International Journal
Improved batch fuzzy learning vector quantization for image compression
Information Sciences: an International Journal
Image compression via textual substitution
WSEAS Transactions on Information Science and Applications
Textual substitution methods for image compression
ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
LZ-based adaptive compression for images
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
Engineering Applications of Artificial Intelligence
Hi-index | 0.01 |
Adaptive vector quantization (AVQ) is a flexible adaptive single pass image compression method, with fast decompression time, for which practical compression achieved compares favorably with existing methods such as the JPEG standard and traditional trained VQ. In this paper we analyze its asymptotic performance for the lossless case and present variations to limit the effect of transmission errors on the decoding image.