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Semi-fragile watermarking for image authentication based on compressive sensing




针对目前认证算法对非恶意攻击的脆弱性问题,本文提出了一种基于压缩感知的半脆弱图像认证算法。 与传统的基于压缩感知的方法不同, 本文联合考虑图像认证的三个主要问题: 篡改检测、 定位和恢复。 算法不仅以像素级准确性定位篡改区域, 而且以较高质量地恢复被篡改内容。 本文算法对恶意篡改攻击脆弱, 而对如 JPEG 压缩、 亮度/对比度变化、 噪声添加、 格式变换等非恶意攻击具有较好的鲁棒性。

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  1. 1

    Li J, Li X L, Yang B, et al. Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Foren Secur, 2015; 10: 507–518

  2. 2

    Ren Y J, Shen J, Zheng Y H, et al. Efficient data integrity auditing for storage security in mobile health cloud. Peer-to-Peer Netw Appl, in press. doi: 10.1007/s12083-015-0346-y

  3. 3

    Guo P, Wang J, Li B, et al. A variable thresholdvalue authentication architecture for wireless mesh networks. J Internet Tech, 2014; 15: 929–936

  4. 4

    Xia Z H, Wang X H, Sun X M, et al. Steganalysis of LSB matching using differencesbetween nonadjacent pixels. Multimedia Tools Appl, in press. doi: 10.1007/s11042-014-2381-8

  5. 5

    Pan Z Q, Zhang Y, Kwong S. Efficient motion and disparity estimation optimization for low complexity multiview video coding. IEEE Trans Broadcast, 2015; 61: 166–176

  6. 6

    Liu S, Song Z, Liu G, et al. Street-to-shop: crossscenario clothing retrieval via parts alignment and auxiliary set. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, 2012. 3330–3337

  7. 7

    Chamlawi R, Khan A, Idris A. Wavelet based image authentication and recovery. J Comput Sci Tech, 2007; 22: 795–804

  8. 8

    Lv L, Fan H, Wang J, et al. A semi-fragile watermarking scheme for image tamper location and recovery. J Theor Appl Inf Tech, 2012; 42: 287–291

  9. 9

    Zhao G H, Shen F F, Wang Z Y, et al. A high quality image reconstruction method based on nonconvex decoding. Sci China Inf Sci, 2013, 56: 112103

  10. 10

    Li Y, Du L. Semi-fragile watermarking for image tamper localization and self-recovery. In: Proceedings of International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), Wuhan, 2014. 328–333

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Correspondence to Xiaochun Cao.

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Du, L., Cao, X., Zhang, W. et al. Semi-fragile watermarking for image authentication based on compressive sensing. Sci. China Inf. Sci. 59, 059104 (2016).

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  • 图像认证
  • 篡改恢复
  • 半脆弱