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dc.contributor.author吳思慧en_US
dc.contributor.authorSzu-Hui Wuen_US
dc.contributor.author莊仁輝en_US
dc.contributor.authorJen-Hui Chuangen_US
dc.date.accessioned2014-12-12T03:02:00Z-
dc.date.available2014-12-12T03:02:00Z-
dc.date.issued2006en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009395530en_US
dc.identifier.urihttp://hdl.handle.net/11536/80364-
dc.description.abstract本論文提出一個可以實作於硬體上的影像放大以及強化方法,一般常見的放大以及強化影像方法,都是先透過內插補點的方法將影像放大之後,再針對放大過後的影像做強化,而我們的方法則是可以在放大的同時強化影像。另外,不同於其他相關研究中,較沒有考慮到利用原始影像的資訊直接做不限比例放大或強化,我們則是透過分析原始影像的資訊,去放大影像。在分析原始影像之前,我們會先預先定義出邊緣或是角的種類,接著再針對一個小區塊作分析,判斷這個小區塊的原始影像是否符合我們預先定義的種類,再根據分析的結果選擇要使用內插補點或是外插補點的方式。因此本論文中也會探討小區塊的大小,以及預先定義種類的多寡,對影像放大強化造成的影響。zh_TW
dc.description.abstractThe thesis proposes an image scaling and enhancement method which is suitable for hardware implementation. Except for very limited image scaling ratios, most image scaling and enhancement methods first scale the image by interpolation, and then enhance the image without considering image content. With analysis of image content, the proposed method scales and enhances the image simultaneously without the above limitation. For such analysis, different pixel patterns of an object edge or corner are pre-defined for a particular window size. For each pattern, proper interpolation/extrapolation scheme is adopted by the proposed method for simultaneous scaling and enhancement. Effects of choosing different window sizes, and associated pixel patterns, on image scaling and enhancement are also examined in detail in this thesis.en_US
dc.language.isozh_TWen_US
dc.subject影像放大zh_TW
dc.subject銳利化zh_TW
dc.subject內插zh_TW
dc.subject外插zh_TW
dc.subjectimageen_US
dc.subjectscalingen_US
dc.subjectenhancementen_US
dc.subjectinterpolationen_US
dc.subjectextrapolationen_US
dc.title影像同時放大與強化—利用原始影像分析做外插或內插放大zh_TW
dc.titleSimultaneous Image Scaling and Enhancement –A Pattern-Based Inter-/Extra- polationen_US
dc.typeThesisen_US
dc.contributor.department電機學院IC設計產業專班zh_TW
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