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dc.contributor.authorTsai, MJen_US
dc.date.accessioned2014-12-08T15:45:20Z-
dc.date.available2014-12-08T15:45:20Z-
dc.date.issued2000-05-01en_US
dc.identifier.issn0098-3063en_US
dc.identifier.urihttp://dx.doi.org/10.1109/30.846672en_US
dc.identifier.urihttp://hdl.handle.net/11536/30556-
dc.description.abstractA low complexity wavelet based image coding algorithm for color image compression is presented in this paper. The key renovation of this algorithm is that a small number of symbol set was designed to convert the information from the wavelet transform domain into a compact data structure for each subband. The scheme works first by color space conversion, followed by uniform scalar quantization and data conversion where raster scanning order is performed for individual subband and quantized coefficients are converted into the symbol stream according to the designed symbol representation. Two different context lists in each subband are specified from the symbol stream and alternatively compressed by adaptive arithmetic coder with high efficiency. Unlike zerotree coding or its variations which utilize the intersubband relationship into its own data representation, our work is a low complexity intrasubband based coding method which only addresses the information within the subband. The only extension is the termination symbols which carry the zero value information towards the end of the subband or across the subbands till the end of the image. 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.titleVery low bit rate color image compression by using stack-run-end codingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/30.846672en_US
dc.identifier.journalIEEE TRANSACTIONS ON CONSUMER ELECTRONICSen_US
dc.citation.volume46en_US
dc.citation.issue2en_US
dc.citation.spage368en_US
dc.citation.epage374en_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:000087796400019-
dc.citation.woscount0-
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