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dc.contributor.authorLee, CHen_US
dc.contributor.authorChen, LHen_US
dc.date.accessioned2014-12-08T15:01:18Z-
dc.date.available2014-12-08T15:01:18Z-
dc.date.issued1997-12-01en_US
dc.identifier.issn1350-245Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/176-
dc.description.abstractA new image compression approach is proposed in which variable block size technique is adopted, using quadtree decomposition, for coding images at low bit rates. In the proposed approach, low-activity regions, which usually occupy large areas in an image, were coded with a larger block size and the block mean is used to represent each pixel in the block, To preserve edge integrity, the classified vector quantisation (CVQ) technique is used to code high-activity regions. A new edge-oriented classifier without employing any thresholds is proposed for edge classification. A novel predictive noiseless coding (NPNC) method which exploits the redundancy between neighbouring blocks is also presented to efficiently code the mean values of low-activity blocks and the addresses of edge blocks. The bit rates required for coding the mean values and addresses can be significantly reduced by the proposed NPNC method. Experimental results show that excellent reconstructed images and higher PSNR were obtained.en_US
dc.language.isoen_USen_US
dc.subjectedge-oriented classifieren_US
dc.subjectimage compressionen_US
dc.subjectquadtree decompositionen_US
dc.subjectvector quantisationen_US
dc.titleNever image compression method using edge-oriented classifier and novel predictive noiseless coding methoden_US
dc.typeArticleen_US
dc.identifier.journalIEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSINGen_US
dc.citation.volume144en_US
dc.citation.issue6en_US
dc.citation.spage361en_US
dc.citation.epage368en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000073869400007-
dc.citation.woscount2-
Appears in Collections:Articles


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