關鍵字：圖像分享、秘密分享、視覺秘密分享、視覺密碼學。
2009年6月7日 星期日
CISC 2009
運氣很好，得到老師充分支持，在一年級就有機會參加研討會並能上台報告我們提的論文，是個很有收穫和趣味的經驗。
增值式視覺秘密分享
藍永青, 李曜廷, 王任瓚
元智大學資訊工程學系
摘要
本論文提出一個新的增值式視覺秘密分享技術，在一張圖像中分享多重機密層級的視覺秘密。所提之n階層增值式視覺秘密分享方法，會將一張記載有n層級機密之圖像，編碼成n+1張由雜亂黑白點組成的分存圖像，這些分存圖像具有下列特性：(1)每張分存圖像無法得到原機密圖中的任何秘密訊息；(2)任意t (2 <= t <= n+1)張分存圖像可解密出t-1層秘密訊息；(3)尚未解密出的秘密訊息數量與位置是看不見的；(4)當得到所有n+1張分存圖像時，可將所有秘密訊息解密出；(5)秘密訊息是由人眼觀看疊合在一起的分存圖像來解密，不須任何電腦的輔助運算。
關鍵字：圖像分享、秘密分享、視覺秘密分享、視覺密碼學。
關鍵字：圖像分享、秘密分享、視覺秘密分享、視覺密碼學。
2009年2月14日 星期六
survey
Visual Cryptography(標明紅色的文章表示正在閱讀)
[2009]
* S.J. Shyu, “Image encryption by multiple random grids,” Pattern Recognition, 2009.
[2008]
* J.B. Feng, H.C. Wu, C.S. Tsai, Y.F. Chang and Y.P. Chu, “Visual secret sharing for multiple secrets,” Pattern Recognition, Vol. 41, No. 12, pp. 3572-3581, 2008.
* B.W. Leung, F.Y. Ng and D.S. Wong, “On the security of a visual cryptography scheme for color images,” Pattern Recognition, In Press, Corrected Proof, Available online 17 September 2008.
* C.N. Yang and T.S. Chen, “Colored visual cryptography scheme based on additive color mixing,” Pattern Recognition, Vol. 41, No. 10, pp. 3114-3129, 2008.
* T.H. Chen, K.H. Tsao, “Visual secret sharing by random grids revisited, ” Pattern Recognition, In Press, Accepted Manuscript, Available online 30 November 2008.
* W.P. Fang, “Friendly progressive visual secret sharing,” Pattern Recognition, Vol. 41, No. 4, pp. 1410-1414, 2008.
[2007]
* S.J. Shyu, “Image encryption by random grids,” Pattern Recognition, Vol. 40, No. 3, pp. 1014-1031, 2007.
* S.J. Shyu, S.Y. Huang, Y.K. Lee, R.Z. Wang and K. Chen, “Sharing multiple secrets in visual cryptography,” Pattern Recognition. Vol. 40, No. 12. pp. 3633-3651, 2007.
[1995]
* M. Noar and A. Shamir, “Visual cryptography,” Advances in Cryptology — EUROCRYPT’94, pp. 1-12, 1995.
[1987]
* O. Kafri and E. Keren, Encryption of Pictures and Shapes by Random Grids, Optics Letters, Vol. 12(6), 377-379, 1987.
影像處理課程
[1] Nilamani B, Sukadev M, Circular spatial filtering under high-noise-variance conditions, Computers & Graphics , vol 32, pp. 568-580, 2008
[2] Andrea P, Giovanni R and V. J, Image enhancement via Adaptive Unsharp Masking, IEEE Trans. on Image Processing, vol. 9, no. 3, 2000, pp. 505-510
[3] Wang Z, Bovik AC. A universal image quality index. IEEE Signal Processing Letters 2002;9(3):81–4.
[4] Donoho DL, Johnstone IM. Adapting to unknown smoothness via wavelet shrinkage. Journal of the American Statistical Association 1995;90(432): 1200–24.
[5] Chang S, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Transactions on Image Processing 2000;9(9): 1532–46.
[6] Chen GY, Bui TD, Krzyzak A. Image denoising using neighboring wavelet coefficients. In: Proceedings of the IEEE international conference on acoustics, speech and signal processing, ICASSP ’04, 2004. p. 917–20.
[7] Mihcak MK, Kozintsev I, Ramchandran K, Moulin P. Low-complexity image denoising based on statistical modeling of wavelet coefficients. IEEE Signal Processing Letters 1999;6(12):300–3.
[8] Tan S, Jiao L. A unified iterative denoising algorithm based on natural image statistical models: derivation and examples. Optics Express 2008;16(2): 975–92.
[2009]
* S.J. Shyu, “Image encryption by multiple random grids,” Pattern Recognition, 2009.
[2008]
* J.B. Feng, H.C. Wu, C.S. Tsai, Y.F. Chang and Y.P. Chu, “Visual secret sharing for multiple secrets,” Pattern Recognition, Vol. 41, No. 12, pp. 3572-3581, 2008.
* B.W. Leung, F.Y. Ng and D.S. Wong, “On the security of a visual cryptography scheme for color images,” Pattern Recognition, In Press, Corrected Proof, Available online 17 September 2008.
* C.N. Yang and T.S. Chen, “Colored visual cryptography scheme based on additive color mixing,” Pattern Recognition, Vol. 41, No. 10, pp. 3114-3129, 2008.
* T.H. Chen, K.H. Tsao, “Visual secret sharing by random grids revisited, ” Pattern Recognition, In Press, Accepted Manuscript, Available online 30 November 2008.
* W.P. Fang, “Friendly progressive visual secret sharing,” Pattern Recognition, Vol. 41, No. 4, pp. 1410-1414, 2008.
[2007]
* S.J. Shyu, “Image encryption by random grids,” Pattern Recognition, Vol. 40, No. 3, pp. 1014-1031, 2007.
* S.J. Shyu, S.Y. Huang, Y.K. Lee, R.Z. Wang and K. Chen, “Sharing multiple secrets in visual cryptography,” Pattern Recognition. Vol. 40, No. 12. pp. 3633-3651, 2007.
[1995]
* M. Noar and A. Shamir, “Visual cryptography,” Advances in Cryptology — EUROCRYPT’94, pp. 1-12, 1995.
[1987]
* O. Kafri and E. Keren, Encryption of Pictures and Shapes by Random Grids, Optics Letters, Vol. 12(6), 377-379, 1987.
影像處理課程
[1] Nilamani B, Sukadev M, Circular spatial filtering under high-noise-variance conditions, Computers & Graphics , vol 32, pp. 568-580, 2008
[2] Andrea P, Giovanni R and V. J, Image enhancement via Adaptive Unsharp Masking, IEEE Trans. on Image Processing, vol. 9, no. 3, 2000, pp. 505-510
[3] Wang Z, Bovik AC. A universal image quality index. IEEE Signal Processing Letters 2002;9(3):81–4.
[4] Donoho DL, Johnstone IM. Adapting to unknown smoothness via wavelet shrinkage. Journal of the American Statistical Association 1995;90(432): 1200–24.
[5] Chang S, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Transactions on Image Processing 2000;9(9): 1532–46.
[6] Chen GY, Bui TD, Krzyzak A. Image denoising using neighboring wavelet coefficients. In: Proceedings of the IEEE international conference on acoustics, speech and signal processing, ICASSP ’04, 2004. p. 917–20.
[7] Mihcak MK, Kozintsev I, Ramchandran K, Moulin P. Low-complexity image denoising based on statistical modeling of wavelet coefficients. IEEE Signal Processing Letters 1999;6(12):300–3.
[8] Tan S, Jiao L. A unified iterative denoising algorithm based on natural image statistical models: derivation and examples. Optics Express 2008;16(2): 975–92.
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