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dc.contributor.authorHung, Chao-Hsiungen_US
dc.contributor.authorHang, Hsueh-Mingen_US
dc.date.accessioned2014-12-08T15:29:04Z-
dc.date.available2014-12-08T15:29:04Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-0046-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/20979-
dc.description.abstract2-D discrete wavelet transform (2-D DWT) represents non-vertical or non-horizontal edges inefficiently. Direction-adaptive discrete wavelet transform (DA-DWT) solves this problem by filtering along the directions of textures. DA-DWT partitions images into many blocks and finds the most suitable direction of each block. The block partition and direction information need to be transmitted as side information. A conventional DA-DWT often produces inconsistent directions of neighboring blocks and thus results in large amount of side information. In this paper, we propose a bottom-up direction alignment algorithm to align the block directions in local areas. Our algorithm can reduce 50% or more in side-information bits at the cost of negligible prediction error increase.en_US
dc.language.isoen_USen_US
dc.subjectDirection-adaptive discrete wavelet transformen_US
dc.subjectdirection alignmenten_US
dc.subjectimage codingen_US
dc.titleDIRECTION ALIGNMENT ALGORITHM FOR DIRECTION-ADAPTIVE DISCRETE WAVELET TRANSFORMen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)en_US
dc.citation.spage773en_US
dc.citation.epage776en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000312381400191-
Appears in Collections:Conferences Paper