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Low bit rate coding of Earth science imagesIn this paper, the authors discuss compression based on some new ideas in vector quantization and their incorporation in a sub-band coding framework. Several variations are considered, which collectively address many of the individual compression needs within the earth science community. The approach taken in this work is based on some recent advances in the area of variable rate residual vector quantization (RVQ). This new RVQ method is considered separately and in conjunction with sub-band image decomposition. Very good results are achieved in coding a variety of earth science images. The last section of the paper provides some comparisons that illustrate the improvement in performance attributable to this approach relative the the JPEG coding standard.
Document ID
19940015685
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Kossentini, Faouzi
(Georgia Inst. of Tech. Atlanta, GA, United States)
Chung, Wilson C.
(Georgia Inst. of Tech. Atlanta, GA, United States)
Smith, Mark J. T.
(Georgia Inst. of Tech. Atlanta, GA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1993
Subject Category
Documentation And Information Science
Report/Patent Number
NASA-CR-193729
NAS 1.26:193729
Report Number: NASA-CR-193729
Report Number: NAS 1.26:193729
Accession Number
94N20158
Funding Number(s)
CONTRACT_GRANT: NAG5-2187
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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