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dc.contributor.authorTsai, MJen_US
dc.date.accessioned2014-12-08T15:27:14Z-
dc.date.available2014-12-08T15:27:14Z-
dc.date.issued1998en_US
dc.identifier.isbn0-7803-4428-6en_US
dc.identifier.issn1520-6149en_US
dc.identifier.urihttp://hdl.handle.net/11536/19473-
dc.description.abstractA new wavelet image coding algorithm was designed for color image compression in this paper. This algorithm utilizes multiary symbol set to represent the meaningful coefficients in the wavelet transform domain which are necessary for the image reconstruction in the respective color channel. The scheme works first by color space conversion, followed by raster scanning the individual subband for data conversion to symbol representation Adaptive arithmetic coder is then used to compress the symbols with high efficiency. Unlike zerotree coding or its variations which are essentially the intersubband coding approach with the complexity in addressing the location relationship across the subbands, this work is a low complexity intrasubband based coding method with context specification within the subband, and termination symbol across subbands. Compared with the zerotree refined schemes, this algorithm results in competitive PSNR values and perceptually high quality images at the same compression ratio for color image compression.en_US
dc.language.isoen_USen_US
dc.titleStack-run-end compression for low bit rate color image communicationen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6en_US
dc.citation.spage2553en_US
dc.citation.epage2556en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000074520700639-
Appears in Collections:Conferences Paper