Adaptive subspace image vector quantization and its relationship with transform coding using VQ

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)48-51
Journal / PublicationIEE Conference Publication
Publication statusPublished - 1991

Conference

Title6th International Conference on Digital Processing of Signals in Communications
PlaceUnited Kingdom
CityLoughborough
Period2 - 6 September 1991

Link(s)

Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0026390125&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(4a286753-b51f-4d62-847b-2861c7606a09).html

Abstract

Novel complexity reduction methods for spatial domain image vector quantization based on subspace distortion is proposed. Substantial reduction in computation and memory requirement is obtained while maintaining good image quality. The proposed methods are general and can be applied in combination with many other image VQ techniques to achieve further improvements.

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Publication fingerprints text

100
Vector Quantization Engineering
100
Transform Coding Computer Science
50
Memory Requirement Engineering
50
Complexity Reductio... Engineering
50
Spatial Domain Engineering
50
Image Quality Computer Science
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Citation Format(s)

[ RIS ] [ BibTeX ]
Adaptive subspace image vector quantization and its relationship with transform coding using VQ. / Chan, Chok Ki; Po, Lai Man; Cheng, Lee Ming.
In: IEE Conference Publication, 1991, p. 48-51.

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal