Title
Adaptive Vector Quantisation Of Non-Orthogonal Representations For Image Compression
Abstract
An efficient compression technique employing adaptive vector quantisation of multiple non-orthogonal transform domain representations of still images is developed. For each sub-image, the encoder selects a code from the domain that yields best representation. The performance improvement employing the proposed technique relative to existing single domain vector quantisation coding methods, for the same compression ratio, is obtained at the expense of increased computational complexity.
Publication Date
1-23-2003
Publication Title
Electronics Letters
Volume
39
Issue
2
Number of Pages
200-201
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1049/el:20030139
Copyright Status
Unknown
Socpus ID
0037461920 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0037461920
STARS Citation
Mikhael, W. B. and Ragothaman, P., "Adaptive Vector Quantisation Of Non-Orthogonal Representations For Image Compression" (2003). Scopus Export 2000s. 1876.
https://stars.library.ucf.edu/scopus2000/1876