Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/92943
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dc.contributor沈肇基zh_TW
dc.contributor.author劉耕孜zh_TW
dc.contributor.authorKen-Tzu Liuen_US
dc.contributor.other資訊管理學系所zh_TW
dc.date2014zh_TW
dc.date.accessioned2015-12-16T05:55:47Z-
dc.identifierU0005-0707201402250000zh_TW
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dc.identifier.urihttp://hdl.handle.net/11455/92943-
dc.description.abstractIn this paper, we propose a novel method of robust, high accuracy image tampering detection. By using the idea of fixed points extracted from a DCT (Discrete Cosine Transform) coefficient matrix from the field of stochastic matrices, we can modify this fixed point and render it an image's authentication code. The authentication code can be used to detect tampering and locate the suspected region under our cross-examination procedure. Moreover, when the image is modified, even by slight brightness adjustment and widely used, lossy JPEG compression, our method is significantly good at detecting the tampered image regions. In this experiment, the results show that our proposed method is able to detect and locate the tampered image regions precisely and robustly against brightness adjustments and the JPEG compressions. Our method works quite well even when the watermarked image has been JPEG-compressed twice. Besides, a new idea of digital document authentication is proposed. We apply the characteristics of the Markov chain to document authentication. This concept which combines document authentication and image processing is able to authenticate the document and also remain the same document size.en_US
dc.description.abstract在本論文中,我們提出一個新穎的方法,利用馬可夫鏈的概念從DCT(Discrete Cosine Transform)係數矩陣中產生特徵值,並加以修改後當成是影像的認證碼,接著利用這些認證碼在我們特別設計的兩階段式檢查機制下,能有效的偵測出遭到竄改的區域。本文提出的方法不僅能察覺到影像被竄改,更能標示出遭到竄改的區域。此外亦針對在實際應用中的情境,即使影像經過些微的亮度調整或失真壓縮,也能順利地標示出遭到竄改的區域。我們在實驗中利用一些常見的攻擊方式來測驗我們的方法。同時,我們也顯示在亮度調整及失真壓縮下的結果,此外在論文中也進一步討論兩次失真壓縮的問題,而在亮度調整及失真壓縮下的認證結果,顯示此影像驗證方法能準確標示出竄改區,而且具有很好的強韌性。另外,我們將馬可夫鏈之特性應用於文件認證之上。結合文字檔案與影像處理的概念,在不需要增加檔案尺寸的前提之下達到文件認證和找出被修改過之文字。zh_TW
dc.description.tableofcontents摘要 i Abstract ii 目錄 iv 圖目錄 v 表目錄 vi 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 2 1.3 研究架構 5 第二章 文獻探討 6 2.1 浮水印技術 6 2.2 馬可夫鏈 7 2.3 離散餘弦轉換 8 第三章 本文方法 12 3.1 階段一 產生認證碼 13 3.2 階段二 將認證碼嵌入原始影像 15 3.3 階段三 驗證影像 18 第四章 實驗結果 25 4.1 實驗環境與實驗用圖 25 4.2 認證影像竄改實驗 29 4.3 明亮化影像處理下的影像認證實驗 33 4.4 影像壓縮後的影像認證實驗 36 第五章 結合馬可夫鏈於文件認證之方法 42 5.1 簡介 42 5.2 方法 43 5.2.1 產生認證碼 43 5.2.2 藏入認證碼 44 5.2.3 認證過程 45 5.3 實驗結果 47 5.4 小結 49 第六章 結論與未來展望 50 參考文獻 51zh_TW
dc.language.isozh_TWzh_TW
dc.rights不同意授權瀏覽/列印電子全文服務zh_TW
dc.subjectDiscrete cosine transformen_US
dc.subjectImage authenticationen_US
dc.subjectJPEG compressionen_US
dc.subjectMarkov chainen_US
dc.subjectTamper detectionen_US
dc.subject影像認證zh_TW
dc.subject竄改偵測zh_TW
dc.subject離散餘弦轉換zh_TW
dc.subject馬可夫鏈zh_TW
dc.titleA Study of Image Authentication Technique by Applying Fixed Point of Regular Stochastic Matrix on DCTen_US
dc.title應用隨機矩陣固定點之特性和離散餘弦轉換於影像認證技術之研究zh_TW
dc.typeThesis and Dissertationen_US
dc.date.paperformatopenaccess2017-07-09zh_TW
dc.date.openaccess10000-01-01-
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