Semi-fragile watermarking for image authentication based on compressive sensing

一种基于压缩感知的半脆弱图像认证方法

摘要

创新点

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。

This is a preview of subscription content, access via your institution.

References

  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

    Article  Google Scholar 

  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

    Google Scholar 

  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

    Article  Google Scholar 

  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

    Google Scholar 

  7. 7

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

    Article  Google Scholar 

  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

    Google Scholar 

  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

    Google Scholar 

  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

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Xiaochun Cao.

Electronic supplementary material

11432_2016_5542_MOESM1_ESM.pdf

Supplementary material, approximately 418 KB.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

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). https://doi.org/10.1007/s11432-016-5542-8

Download citation

关键词

  • 图像认证
  • 篡改恢复
  • 半脆弱