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dc.contributor.authorWu, BFen_US
dc.contributor.authorSu, CYen_US
dc.date.accessioned2014-12-08T15:46:50Z-
dc.date.available2014-12-08T15:46:50Z-
dc.date.issued1999-03-01en_US
dc.identifier.issn0253-3839en_US
dc.identifier.urihttp://hdl.handle.net/11536/31485-
dc.description.abstractSymmetric filters and symmetric extension of image edges have been widely used in wavelet image compression. Since the filters are symmetric, it is possible to take advantage of the symmetric property to reduce the computational complexity for the filtering. In this paper, we present a fast convolution algorithm for the discrete wavelet transform (DWT) and the inverse DWT (IDWT) such that the transform time can be greatly reduced. Compared with regular convolution, the new algorithm can decrease the multiplication operations by nearly one half. Converted into real programming, it sped up the DWT and IDWT in our experiments by at least 12% and 55%, respectively. Incorporated with enhancing zerotree coding, the proposed algorithm results in a rapid and efficient coder. Experimental results showed that the coder is competitive with other high performance coders. The pro posed convolution algorithm is also suitable for many types of wavelet-based coding, including wavelet video coding.en_US
dc.language.isoen_USen_US
dc.subjectfast convolution algorithmen_US
dc.subjectwavelet image compressionen_US
dc.subjectsymmetric extensionen_US
dc.subjectzerotree codingen_US
dc.titleA fast convolution algorithm for biorthogonal wavelet image compressionen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF THE CHINESE INSTITUTE OF ENGINEERSen_US
dc.citation.volume22en_US
dc.citation.issue2en_US
dc.citation.spage179en_US
dc.citation.epage192en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000079520600007-
dc.citation.woscount3-
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