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dc.contributor.authorChuang, TJen_US
dc.contributor.authorLin, JCen_US
dc.date.accessioned2014-12-08T15:48:46Z-
dc.date.available2014-12-08T15:48:46Z-
dc.date.issued1998-09-01en_US
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://hdl.handle.net/11536/32439-
dc.description.abstractThis paper presents a spatial domain method for lossless still image compression using a new scheme: base switching (BS). The given image is partitioned into non-overlapping fixed-size subimages. Different subimages then get different compression ratios according to the base values of the subimages. In order to increase the compression ratio, a hierarchical technique is also used. It is found that the compression ratio of the proposed algorithm can compete with that of the VBSS and the international standard algorithms known as JBIG and Lossless JPEG. In addition, when the BS method is compared with the S + P method, which is an excellent frequency domain method that used EZW, although S + P method gains about 9% increase in the compression ratio, its encoding time (excluding I/O) is about three times longer than ours. The math theory needed to build up the proposed compression scheme is also provided. (C) 1998 Published by Elsevier Science Ltd on behalf of the Pattern Recognition Society. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectstill imageen_US
dc.subjectlossless compressionen_US
dc.subjectbase-switchingen_US
dc.subjecthierarchical technique JBIGen_US
dc.subjectlosslessen_US
dc.subjectJPEGen_US
dc.subjectVBSSen_US
dc.subjectEZWen_US
dc.subjectS+Pen_US
dc.titleA new algorithm for lossless still image compressionen_US
dc.typeArticleen_US
dc.identifier.journalPATTERN RECOGNITIONen_US
dc.citation.volume31en_US
dc.citation.issue9en_US
dc.citation.spage1343en_US
dc.citation.epage1352en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000074932600012-
dc.citation.woscount3-
Appears in Collections:Articles


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