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dc.contributor.authorHwang, Lain-Jinn
dc.contributor.authorChow, Louis R.
dc.contributor.authorTan, Chia-Ton
dc.date.accessioned2009-06-02T08:42:34Z
dc.date.accessioned2020-07-05T06:32:55Z-
dc.date.available2009-06-02T08:42:34Z
dc.date.available2020-07-05T06:32:55Z-
dc.date.issued2006-06-28T01:56:22Z
dc.date.submitted2003-12-19
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2376/1861-
dc.description.abstractImage resizing is an important operation in digital image processing. In this paper, we introduce an image resizing scheme that produces significantly improved quality over the pixel replication method. This algorithm is suitable for real-time image resizing applications including: Virtual Reality, Optical Character Recognition, Symbol Recognition, and Car License Plate Recognition. Although this method produced “jaggies” at the edges in the resized image, the execution time is about 22 to 40 times fast than the Windows and the Weiman scheme, respectively.
dc.description.sponsorship逢甲大學,台中市
dc.format.extent7P.
dc.format.extent212542 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries中華民國92年全國計算機會議
dc.subjectImage Resize
dc.subjectPixel Replication
dc.subjectRothstein code
dc.subject.other其他領域
dc.titleFast Bitmap Images Resizing
分類:2003年 NCS 全國計算機會議

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