一種解決版權(quán)問題的數(shù)字水印方案
A watermarking scheme for resolving rightful copyright
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摘要: 大部分水印技術(shù)側(cè)重于水印的不可見性和穩(wěn)健性,而版權(quán)保護問題并未得到真正解決。該文提出的數(shù)字水印方案可以有效地解決這一問題。通過一種新穎的水印構(gòu)造方法,有效地消除了在解決版權(quán)問題中對使用原始圖像的限制。盲與非盲水印檢測時水印的不可見性和穩(wěn)健性均得到很大提高。實驗結(jié)果證明該數(shù)字水印方案對于版權(quán)攻擊是有效的,對各種失真都具有較強的穩(wěn)健性。
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關(guān)鍵詞:
- 數(shù)字水印; 版權(quán)保護; 子空間分解; 盲與非盲水印檢測
Abstract: Most watermarking schemes focus on the robustness and invisibility with the problem of copyright protection remained unresolved, which are their initial motivation. In this paper, a watermarking scheme is proposed to provide effective copyright protection. By using a. novel method of generating watermark, the use of original data is no longer limited in resolving rightful ownerships. Moreover, blind and non-blind watermark detections have different applications. The robustness and invisibility are also improved. Both theoretical analysis and experimental results show its effectiveness against copyright attack and other distortions such as JPEG compression, Additive White Gaussian Noise (AWGN), image resizing and media filtering. -
F. Hartung, M. Kutter, Multimedia watermarking techniques, Proc. IEEE, 1999, 87(7), 1079-1107.[2]I.J. Cox, J. Kilian, F. T. Leighton, T. Shamoon, Secure spread spectrum watermarking for multimedia, IEEE Trans. on Image Processing, 1997, IP-6(12), 1674-1687.[3]S. Craver, N. Memon B. Yeo, M. M. Yeung, Resolving rightful ownerships with invisible watermarking techniques: limitations, attacks and implications, IEEE J. on Selected Areas in Communications, 1998, 16(4), 573-586.[4]W. Zeng, B. Liu, A statistical watermark detection technique without using original image for resolving rightful ownerships of digital images, IEEE Trans. on Image Processing, 1999, IP-8(11),1534-1548.[5]M.D. Swanson, B. Zhu, A. H. Tewfik, Multiresolution scene-based video watermarking using perceptual models, IEEE J. on Selected Areas in Communications, 1998, 16(4), 540-550.[6]Chiou-Ting Hsu, Ja-Ling Wu, Hiding digital watermarks in image, IEEE Trans. on Image Processing, 1999, IP-8(1), 58-68.[7]F.S.V. Bazan, Sensitivity eigenanalysis for single shift-invariant subspace-based method, Signal Processing, 2000, 80(1), 89-100. -
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