博碩士論文 88522048 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊工程研究所zh_TW
DC.creator王凱億zh_TW
DC.creatorKia-Yi Wangen_US
dc.date.accessioned2001-7-2T07:39:07Z
dc.date.available2001-7-2T07:39:07Z
dc.date.issued2001
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=88522048
dc.contributor.department資訊工程研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在本論文的研究中,我們提出以整數小波 (integer wavelet) 和灰色理 論 (grey theory) 為基礎的漸進式影像壓縮技術。在漸進式壓縮方面,我們以小波分解技術來產生不同解析度及不同波段 (subband) 的影像。同時配合灰色理論在高頻波段上做預測以達到更高的壓縮倍率。有別於傳 統影像壓縮技術由左而右由上而下的編碼。在網路瀏覽時可能因為網路 頻寬的限制而只能瀏覽半張影像。而我們所提出的方法可以因為頻寬的 限制而看到相較原始影像二分之一解析度的影像而不是只看到半張影 像,如此在瀏覽資料量較大的影像或是頻寬壅塞時更有利於上線的使用者。zh_TW
dc.description.abstractIn this paper a progressive image compression approach based on our proposed integer wavelet transform and grey prediction is proposed. The integer wavelet transform is based on a reversible round-off linear transform algorithm to forward and backward transform integers without any loss. The proposed compression approach is combining the EZW method and a grey prediction to compress images. EZW is a famous wavelet-based image compression and the grey prediction is based on the grey theory to further improve the compression rate without degrading the image quality. The proposed approach is suitable for browsing large-scaled images. Several experiments and comparisons are conducted to evaluate the performance of the proposed approach.en_US
DC.subject小波zh_TW
DC.subject 影像壓縮zh_TW
DC.subjectimage compressionen_US
DC.subject waveleten_US
DC.title以整數小波轉換及灰色理論為基礎的漸進式影像壓縮 zh_TW
dc.language.isozh-TWzh-TW
DC.titleProgressive image compression based on integer wavelet transform and grey theory en_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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