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論文中文名稱:利用奇偶特性的區塊截斷編碼資料隱藏 [以論文名稱查詢館藏系統]
論文英文名稱:Data Hiding With Odd/Even Property Based On Block Truncation Coding [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:機電學院
系所名稱:自動化科技研究所
畢業學年度:106
畢業學期:第一學期
出版年度:106
中文姓名:齊冠瑜
英文姓名:Kuan-Yu Chi
研究生學號:104618011
學位類別:碩士
語文別:中文
口試日期:2017/11/24
論文頁數:44
指導教授中文名:陳永耀
口試委員中文名:黃正民;花凱龍
中文關鍵詞:雲端數據安全資料隱藏區塊截斷編碼直接二元搜尋
英文關鍵詞:Cloud data securityData hidingBlock Truncation Coding (BTC)Direct Binary Search (DBS)
論文中文摘要:雲端計算是一個基於互聯網的計算模型,它可以共享在計算機、伺服器和儲存硬體(USB或行動硬碟)上的計算用的資料。在未來的智慧城市中,很多的新的應用軟體會利用到雲端計算;例如:一個基於雲端計算的家庭健康保健系統,可以藉由分析醫學影像來提供立即的疾病管制或處理。然而,如果雲端數據的資料量過於龐大的話 (例如:醫學影像),透過互聯網間的轉換過程是非常耗時的。而且雲端數據的認證是另一個應該解決的問題。為了解決上述的問題,本研究提出了一種基於區塊截斷編碼(BTC)圖像壓縮技術的新型數據隱藏的方法。這個方法有兩個優點,減少影像的檔案大小且增加資訊的安全性。本研究也提出了一個定義影像中的平滑區塊、複雜區塊1和複雜區塊2的區塊分類方法。秘密資訊會以不同的方式分別嵌入這三種區塊當中。為了在不損壞隱藏資訊的情況下提高影像品質,我們提出了一種漸進式的資訊隱藏方法,且將基於迭代的半色調方法整合進BTC中。解碼的時候,隱藏資訊可以在不需要原始影像的情況下取出。根據實驗結果,本文方法在嵌入資訊的編碼量和影像品質都優於目前現有的方法。
論文英文摘要:Cloud computing is an Internet-based computing model that shares computing resources such as computers, servers, and storage. However, if the size of cloud data is large (e.g., medical images), their transition through the Internet is time consuming. Cloud data authentication is another problem that should be addressed.
To address the aforementioned problems, this study presents a novel data hiding method based on the block truncation coding (BTC) image compression technique. This method has two advantages: reduces image size and increases security. This study also proposes a block classification scheme for determining smooth blocks, complex 1 blocks, and complex 2 blocks in an image. Secret data are embedded in these three block types using different approaches. To improve the quality of images without damaging the secret data, we propose a progressive data hiding strategy and integrating an iteration-based halftoning method into BTC. According to experimental results, the proposed method outperforms existing methods in both embedding capacity and image quality evaluations.
論文目次:中文摘要 i
英文摘要 ii
誌 謝 iv
目 錄 v
圖目錄 vi
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究方法 1
1.3 論文架構 3
第二章 區塊截斷編碼演算法 4
2.1 前言 4
2.2 區塊截斷編碼(DBS) 4
2.3 動量絕對值區塊截斷編碼(AMBTC) 7
第三章 AMBTC影像編碼 9
3.1 前言 9
3.2 High payload image steganography with minimum 9
3.3 Hybrid secret hiding schemes on AMBTC 11
3.4 Quantization level modification and perturbation technique 12
第四章 利用奇偶特性的區塊截斷編碼資料隱藏 15
4.1 前言 15
4.2 區塊分割與分類 16
4.3 編碼 16
4.4 改良式DBSBTC 23
第五章 實驗結果與分析 26
5.1 前言 26
5.2 影像品質 26
5.3 實驗結果 28
5.4 實驗分析 40
第六章 結論 42
參考文獻 43
論文參考文獻:1. C. Podilchuk and E.Delp, “ Digital watermarking : algorithms and applications ”, IEEE
Signal Processing Magazine, Vol. 18, pp.33-46, 2001.
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2007,第162-167頁
3. Jing-Ming Guo, Senior Member, IEEE, and Chang-Cheng Su, “ Improved Block Truncation Coding Using Extreme Mean Value Scaling and Block-Based High Speed Direct Binary Search ”, IEEE SIGNAL PROCESSING LETTERS, VOL. 18, NO. 11, NOVEMBER 2011
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7. Y. Huang, C. Chang, and Y. Chen, “ Hybrid secret hiding schemes based on absolute moment block truncation coding. “, Multimedia Tools and Applications, pp, 1-16,Feb. 2016.
8. W. Hong, T. Chen, Z. Yin, B. Luo, and Y. Ma, ” Data hiding in ambtc images using quantization level modication and perturbation technique. ”, Multimedia Tools and Applications, pages 1-22, Oct. 2016.
9. I. Chang, Y. Hu, W. Chen, and C. Lo, “ High capacity reversible data hiding scheme based on residual histogram shifting for block truncation coding. ” , Signal Processing, Vol, 108, pp, 376-388, 2015.
10. Duanhao Ou , Wei Sun, “ High payload image steganography with minimum distortion based on absolute moment block truncation coding ”, Multimed Tools Appl, April 2014
11. Ying-Hsuan Huang, Ching-Chun Chang, Yi-Hui Chen, “ Hybrid secret hiding schemes based on absolute moment block truncation coding ”, Multimed Tools Appl, December 2015.
12. Wien Hong1, Tung Shou Chen, Zhaoxia Yin, Bin Luo, Yuanbo Ma, “ Data hiding in AMBTC images using quantization level modification and perturbation technique ”, Multimed Tools Appl , Vol. 76, pp, 3761–3782, September 2016
論文全文使用權限:同意授權於2023-01-05起公開