Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lu, CY | en_US |
dc.contributor.author | Chen, AY | en_US |
dc.contributor.author | Wen, KA | en_US |
dc.date.accessioned | 2019-04-02T05:59:15Z | - |
dc.date.available | 2019-04-02T05:59:15Z | - |
dc.date.issued | 1997-09-01 | en_US |
dc.identifier.issn | 1047-3203 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1006/jvci.1997.0353 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/148645 | - |
dc.description.abstract | This paper presents a progressive image transmission scheme in which polynomial approximation coding is effectively applied to encoding residual images at each stage. This polynomial approximation coding is derived from a regressive model based on the relation between a set of data and their positions. Because the close relation is embedded in a certain polynomial function, the highly efficient compression can be implemented and the decimation and interpolation are also easily realized at the receiving side. Simulations and experimental results are discussed in the later part of this paper. (C) 1997 Academic Press. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Polynomial approximation coding for progressive image transmission | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1006/jvci.1997.0353 | en_US |
dc.identifier.journal | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | en_US |
dc.citation.volume | 8 | en_US |
dc.citation.spage | 317 | en_US |
dc.citation.epage | 324 | en_US |
dc.contributor.department | 交大名義發表 | zh_TW |
dc.contributor.department | National Chiao Tung University | en_US |
dc.identifier.wosnumber | WOS:000071327100007 | en_US |
dc.citation.woscount | 5 | en_US |
Appears in Collections: | Articles |