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Medical Image Compression Using a New Subband Coding MethodA recently introduced iterative complexity- and entropy-constrained subband quantization design algorithm is generalized and applied to medical image compression. In particular, the corresponding subband coder is used to encode Computed Tomography (CT) axial slice head images, where statistical dependencies between neighboring image subbands are exploited. Inter-slice conditioning is also employed for further improvements in compression performance. The subband coder features many advantages such as relatively low complexity and operation over a very wide range of bit rates. Experimental results demonstrate that the performance of the new subband coder is relatively good, both objectively and subjectively.
Document ID
19970018308
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Kossentini, Faouzi (Georgia Inst. of Tech. Atlanta, GA United States)
Smith, Mark J. T. (Georgia Inst. of Tech. Atlanta, GA United States)
Scales, Allen (Nichols Research Corp. Huntsville, AL United States)
Tucker, Doug (Alabama Univ. Birmingham, AL United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1995
Subject Category
Computer Programming And Software
Report/Patent Number
NASA-CR-204402
NAS 1.26:204402
Accession Number
97N20289
Funding Number(s)
CONTRACT_GRANT: NAG5-2187
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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