DocumentCode :
1750082
Title :
New low-pass split wavelet pyramids and their application to efficient zerotree coding of medical images
Author :
Zador, Andrew ; Kustov, Vadim
Author_Institution :
Finlin Technol. Ltd., Waterloo, Ont., Canada
fYear :
2001
fDate :
2001
Firstpage :
521
Lastpage :
526
Abstract :
We have developed and tested alternative transforms which create different zerotree structures. These new transforms can significantly improve the performance of image compression algorithms that use zerotrees without a significant modification of the latter. A new wavelet pyramid that results in an effective non-integer up- and down-sampling of the high-frequency sub-bands is presented in this paper. Non-integer sub-sampled pyramids can also be used to reduce the data dependency in the compression algorithm, and therefore reduce the execution time in a processor with multiple parallel processing units
Keywords :
image coding; image sampling; low-pass filters; medical image processing; parallel processing; software performance evaluation; source coding; tree data structures; wavelet transforms; data dependency reduction; execution time reduction; high-frequency sub-bands; image compression algorithm performance; low-pass split wavelet pyramids; medical image coding; multiple parallel processing units; noninteger down-sampling; noninteger sub-sampled pyramids; noninteger up-sampling; wavelet transforms; zerotree coding; zerotree structures; Biomedical imaging; Compression algorithms; Discrete wavelet transforms; Equations; Filter bank; Frequency; Image coding; Image reconstruction; Wavelet packets; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
Conference_Location :
Bethesda, MD
ISSN :
1063-7125
Print_ISBN :
0-7695-1004-3
Type :
conf
DOI :
10.1109/CBMS.2001.941772
Filename :
941772
Link To Document :
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