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Global and Local Distortion Inference During Embedded Zerotree Wavelet DecompressionThis paper presents algorithms for inferring global and spatially local estimates of the squared-error distortion measures for the Embedded Zerotree Wavelet (EZW) image compression algorithm. All distortion estimates are obtained at the decoder without significantly compromising EZW's rate-distortion performance. Two methods are given for propagating distortion estimates from the wavelet domain to the spatial domain, thus giving individual estimates of distortion for each pixel of the decompressed image. These local distortion estimates seem to provide only slight improvement in the statistical characterization of EZW compression error relative to the global measure, unless actual squared errors are propagated. However, they provide qualitative information about the asymptotic nature of the error that may be helpful in wavelet filter selection for low bit rate applications.
Document ID
19970026504
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
Authors
Huber, A. Kris
(Utah State Univ. Logan, UT United States)
Budge, Scott E.
(Utah State Univ. Logan, UT United States)
Date Acquired
August 17, 2013
Publication Date
April 4, 1996
Publication Information
Publication: Combined Industry, Space and Earth Science Data Compression Workshop
Subject Category
Documentation And Information Science
Accession Number
97N25777
Funding Number(s)
CONTRACT_GRANT: NAS7-918
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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