以整數小波轉換及灰色理論為基礎的漸進式影像壓縮; Progressive image compression based on integer wavelet transform and grey theory

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/8534

Title:	以整數小波轉換及灰色理論為基礎的漸進式影像壓縮;Progressive image compression based on integer wavelet transform and grey theory
Authors:	王凱億;Kia-Yi Wang
Contributors:	資訊工程研究所
Keywords:	影像壓縮;小波;image compression;wavelet
Date:	2001-07-02
Issue Date:	2009-09-22 11:29:34 (UTC+8)
Publisher:	國立中央大學圖書館
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。 In 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.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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