Document Detail


Vector-scalar classification for transform image coding.
MedLine Citation:
PMID:  18267535     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
This paper introduces vector-scalar classification (VSC) for discrete cosine transform (DCT) coding of images. Two main characteristics of VSC differentiate it from previously proposed classification methods. First, pattern classification is effectively performed in the energy domain of the DCT subvectors using vector quantization. Second, the subvectors, instead of the DCT vectors, are mapped into a prescribed number of classes according to a pattern-to-class link established by scalar quantization. Simulation results demonstrate that the DCT coding systems based on VSC are superior to the other proposed DCT coding systems and are competitive compared to the best subband and wavelet coding systems reported in the literature.
Authors:
J Pan
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  8     ISSN:  1057-7149     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  1999  
Date Detail:
Created Date:  2008-02-12     Completed Date:  2009-12-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1175-82     Citation Subset:  -    
Affiliation:
CommQuest, Encinitas, CA 92024, USA. jpan@us.ibm.com
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