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  • 學位論文

具漸進功能之Android影像秘密分享系統設計

Android System Development on Progressive Secret Image Sharing Scheme

指導教授 : 陳建彰

摘要


本文提出了一個(s, t, n)漸進式影像秘密分享系統,傳統的(t, n)影像秘密分享技術(t=>n且2<=n)在分享時將秘密影像分享成n把金鑰及與金鑰相對應的分享影像。每位分享者僅握有一把金鑰及一張分享影像,還原時只要取得t把金鑰及與金鑰相對應的分享影像經由計算後,即可回復無失真的原秘密影像。本方法採用中國餘式定理分享並由整數小波轉換來滿足漸進式特性的影像。首先,本文先將影像做整數小波轉換後,再對轉換後的各子影像進行分組,然後在各組子影像賦予分享門檻s到t,藉由這些門檻值的不同來建立具有漸進式功能的秘密影像分享系統。實驗結果顯示,基於中國餘式定理和整數小波轉換在Android平台上實際開發的影像秘密分享系統,有著極高效率的影像秘密分享與漸進特性。

並列摘要


This study presents an (s, t, n) progressive method for sharing a secret image. In which n shared images are generated from the secret image, collecting s shared images acquires coarse resolution of secret image, and collecting t or more shared images losslessly recovers the secret image. The proposed method employs the Chinese Remainder Theorem to share subimages acquired from integer wavelet transform with different thresholds for satisfying the progressive property. First, the proposed scheme applies the secret image to integer wavelet subimages. The maximum subimage number needed in wavelet transform is obtained from threshold s and t. Then, all subimages are partitioned to (t-s+1) groups and share each group with different thresholds to reconstruct the secret image progressively. Experimental results demonstrate that the proposed scheme based on Chinese Remainder Theorem preserves efficiency and progressive properties.

參考文獻


[10] K. H. Hung, Y. J. Chang, J. C. Lin, “Progressive sharing of an image”, Optical Engineering, Vol. 48, No. 4, 2008, 047006.
[17] R. Z. Wang, Y. F. Chien, Y. Y. Lin, “Scalable user-friendly image sharing”, Journal of Visual Communication and Image Research, Vol. 21, No. 7, 2010, pp. 751–761.
[14] C. C. Thien and J. C. Lin, “Secret image sharing”, Computers & Graphics, Vol. 26, No. 5, 2002, pp. 765–770.
[1] C. C. Chen, C. C. Chen, Y. C. Lin, “A Weighted Modulated Secret Image Sharing Method”, Journal of Electronic Imaging, Vol. 18, No.4, 2009, 043011.
[2] S. K. Chen and J. C. Lin, “Fault-tolerance and progressive transmission of images”, Pattern Recognition, Vol. 38, No. 12, 2005, pp. 2466–2471.

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