DocumentCode
1148248
Title
Adaptive vector quantisation of non-orthogonal representations for image compression
Author
Mikhael, W.B. ; Ragothaman, P.
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
Volume
39
Issue
2
fYear
2003
fDate
1/23/2003 12:00:00 AM
Firstpage
200
Lastpage
201
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.
Keywords
adaptive signal processing; computational complexity; image coding; image reconstruction; image representation; vector quantisation; adaptive vector quantisation; compression ratio; computational complexity; encoder; image compression; multiple nonorthogonal transform domain representations; nonorthogonal representations; performance improvement; reconstructed images; still images;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20030139
Filename
1179516
Link To Document