Multimedia Tools and Applications

, Volume 75, Issue 6, pp 3495–3516 | Cite as

Effective image forgery detection of tampered foreground or background image based on image watermarking and alpha mattes

  • Wu-Chih Hu
  • Wei-Hao Chen
  • Deng-Yuan Huang
  • Ching-Yu Yang
Article

Abstract

This paper proposes an effective image forgery detection scheme that identifies a tampered foreground or background image using image watermarking and alpha mattes. In the proposed method, component-hue-difference-based spectral matting is used to obtain the foreground and background images based on the obtained alpha matte. Next, image watermarking based on the discrete wavelet transform, discrete cosine transform, and singular value decomposition is used to embed two different watermarks into the foreground and background images, respectively. Finally, the difference between the obtained singular values is used to detect tampering of foreground or background image. Experimental results show that the proposed method performs well in terms of image forgery detection.

Keywords

Image forgery Image matting Image watermarking Alpha matte 

References

  1. 1.
    Bianchi T, Piva A (2012) Image forgery localization via block-grained analysis of JPEG artifacts. IEEE Trans Inf Forensic Secur 7(3):1003–1017CrossRefGoogle Scholar
  2. 2.
    Chang I-C, Yu JC, Chang C-C (2013) A forgery detection algorithm for exemplar-based inpainting images using multi-region relation. Image Vis Comput 31(1):57–71CrossRefGoogle Scholar
  3. 3.
    Christlein V, Riess C, Jordan J, Riess C, Angelopoulou E (2012) An evaluation of popular copy-move forgery detection approaches. IEEE Trans Inf Forensic Secur 7(6):1841–1854CrossRefGoogle Scholar
  4. 4.
    Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE Trans Pattern Anal Mach Intell 24(5):603–619CrossRefGoogle Scholar
  5. 5.
    Criminisi A, Perez P, Toyama K (2004) Region filling and object removal by exemplar-based image inpainting. IEEE Trans Image Process 13(9):1200–1212CrossRefGoogle Scholar
  6. 6.
    Guan Y, Chen W, Liang X, Ding Z, Peng Q (2008) Easy matting: a stroke based approach for continuous image matting. Comput Graph Forum 25(3):567–576CrossRefGoogle Scholar
  7. 7.
    Han Q, Han L, Wang E, Yang J (2013) Dual watermarking for image tamper detection and self-recovery. In: Proc. of the 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 33–36Google Scholar
  8. 8.
    Hu W-C, Chen W-H (2013) Effective forgery detection using DCT + SVD-based watermarking for region of interest in key frames of vision-based surveillance. Int J Comput Sci Eng 8(4):297–305CrossRefGoogle Scholar
  9. 9.
    Hu W-C, Chen W-H, Huang D-Y, Yang C-Y (2012) Novel detection of image forgery for exchanged foreground and background using image watermarking based on alpha matte. In: Proc. of the 6th International Conference on Genetic and Evolutionary Computing, pp. 245–248Google Scholar
  10. 10.
    Hu W-C, Chen W-H, Yang C-Y (2012) Robust image watermarking based on discrete wavelet transform-discrete cosine transform-singular value decomposition. J Electron Imaging 21(3):033005(1)–033005(7)CrossRefGoogle Scholar
  11. 11.
    Hu W-C, Hsu J-F (2013) Automatic spectral video matting. Pattern Recogn 46(4):1183–1194CrossRefGoogle Scholar
  12. 12.
    Hu W-C, Jhu J-J, Lin C-P (2012) Unsupervised and reliable image matting based on modified spectral matting. J Vis Commun Image Represent 23(4):665–676CrossRefGoogle Scholar
  13. 13.
    Huang D-Y, Lin T-W, Hu W-C, Chou C-H (2013) Boosting scheme for detecting region duplication forgery in digital images. In: Proc. of the 7th International Conference on Genetic and Evolutionary Computing, pp. 125–133Google Scholar
  14. 14.
    Huang Y, Lu W, Sun W, Long D (2011) Improved DCT based detection of copy-move forgery in images. Forensic Sci Int 206(1–3):178–184CrossRefGoogle Scholar
  15. 15.
    Lai C-C (2011) A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm. Digit Signal Process 21:522–527CrossRefGoogle Scholar
  16. 16.
    Lai C-C, Tsai C-C (2010) Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans Instrum Meas 59:3060–3063CrossRefGoogle Scholar
  17. 17.
    Levin A, Lischinski D, Weiss Y (2008) A closed-form solution to natural image matting. IEEE Trans Pattern Anal Mach Intell 30(2):228–242CrossRefGoogle Scholar
  18. 18.
    Levin A, Rav-Acha A, Lischinski D (2008) Spectral matting. IEEE Trans Pattern Anal Mach Intell 30(10):1699–1712CrossRefGoogle Scholar
  19. 19.
    Li L, Li S, Zhu H, Chu S-C, Roddick JF, Pan J-S (2013) An efficient scheme for detecting copy-move forged images by local binary patterns. J Inf Hiding Multimedia Signal Process 4(1):46–56Google Scholar
  20. 20.
    Lin G-S, Chang M-K, Chen Y-L (2011) A passive-blind forgery detection scheme based on content-adaptive quantization table estimation. IEEE Trans Circ Syst Video Technol 21(4):421–434MathSciNetCrossRefGoogle Scholar
  21. 21.
    Lin Z, He J, Tang X, Tang CK (2009) Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis. Pattern Recogn 42(11):2492–2501CrossRefMATHGoogle Scholar
  22. 22.
    Liu K-C (2012) Colour image watermarking for tamper proofing and pattern-based recovery. IET Image Process 6(5):445–454MathSciNetCrossRefGoogle Scholar
  23. 23.
    Loukhaoukha K, Chouinard JY (2010) On the security of ownership watermarking of digital images based on SVD decomposition. J Electron Imaging 19(1):013007(1)–013007(9)CrossRefGoogle Scholar
  24. 24.
    Mahdian B, Saic S (2009) Using noise inconsistencies for blind image forensics. Image Vis Comput 27(10):1497–1503CrossRefGoogle Scholar
  25. 25.
    Ng A, Jordan M, Weiss Y (2001) On spectral clustering: analysis and an algorithm. Adv Neural Inf Process Syst 14:849–856Google Scholar
  26. 26.
    Rykaczewski R (2007) Comments on An SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans Multimedia 9(2):421–423CrossRefGoogle Scholar
  27. 27.
    Wang J, Cohen MF (2007) Image and video matting: a survey. Found Trends Comput Graph Vis 3(2):1–78CrossRefGoogle Scholar
  28. 28.
    Zhang X-P, Li K (2005) Comments on an SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans Multimedia 7(2):593–594CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Wu-Chih Hu
    • 1
  • Wei-Hao Chen
    • 1
  • Deng-Yuan Huang
    • 2
  • Ching-Yu Yang
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Penghu University of Science and TechnologyMagong CityTaiwan
  2. 2.Department of Electrical EngineeringDayeh UniversityChanghuaTaiwan

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