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Process color watermarking: the use of visual masking and dot gain correction

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Abstract

Subtractive-Color-Reproduction is the fundamental mechanism in 4-color process printing, which employs CMYK (cyan, magenta, yellow and black) dots for color reproduction. Watermarks embedded in RGB images are distorted when the image is transformed from what to process color for printing usage. Based on the feature of CMYK color space and human visual system, this paper presents a robust CMYK watermarking algorithm for printing images, which embeds an informative watermark and a structure template signal in DCT domain of the Yellow information channel and DFT domain of the black information channel respectively. The embedded template enables robustness against geometric distortions in the print-scanning process. Another spatial visual mask is proposed to reshape the embedded energy after it is inverted to the spatial domain, which significantly improves the color fidelity and the image quality. In addition, a dot gain compensation model is put forward for color correction. A series of proof tests have been carried out on an offset press, which show that the watermark preserves the fidelity of the image and can be extracted with a high quality; moreover, a remarkable fidelity of color and tones on printed copies is well preserved.

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References

  1. Agarwal H, Atrey P K, Raman B (2014) Image watermarking in real oriented wavelet transform domain [J]. Multimedia Tools Appl 1–39

  2. Barni M, Bartolini F, Piva A (2001) Improved wavelet-based watermarking through pixel-wise masking. IEEE Trans Image Process 10(5):783–791

    Article  MATH  Google Scholar 

  3. Bas P, Chassery J, Macq B (2002) Geometrically invariant watermarking using feature points [J]. IEEE Trans Image Process 11(9):1014–1028

    Article  Google Scholar 

  4. Cao P (2013) Encryption and anti-counterfeiting printing technology based on modulating amplitude modulation dot shape by the binary encryption signal [P]. CN, CN 102184428 B

  5. Chang C-c, Hwang K-f (2002) An information hiding technique for Halftone images based on human visual effects [J]. J China Inst Commun 23(5):9–17

    Google Scholar 

  6. Chen PY, Lin CL (2015) Print and scan resistant watermarking scheme for colour images[J]. Imaging Sci J 63(5):273–284

    Article  Google Scholar 

  7. Ford A, Roberts A (1998) Colour space conversions (R). Westminster University, London

    Google Scholar 

  8. Fu MS, Au OC (2003) Steganography in halftone images: conjugate error diffusion [J]. Signal Process 83(10):2171–2178

    Article  MATH  Google Scholar 

  9. Jing-Ming G, Chang-Cheng S, Yun-Fu L et al (2012) Oriented modulation for watermarking in direct binary search halftone images[J]. IEEE Trans Image Process Publ IEEE Signal Process Soc 21(9):4117–4127

    MathSciNet  Google Scholar 

  10. Kang X, Huang J, Shi YQ, Lin Y (2003) A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression [J]. IEEE Trans Circuits Syst Video Technol 13(8):776–786

    Article  Google Scholar 

  11. Kaur B, Kaur A, Singh J (2011) Steganographic approach for hiding image in DCT domain [J]. Int J Adv Eng Technol 1(3):72–78

    Google Scholar 

  12. Lefebvre F, Gueluy D, Delannay D et al (2001) A print and scan optimized watermarking scheme [C]//Multimedia Signal Processing, 2001 I.E. Fourth Workshop on IEEE, pp 511–516

  13. Li X, Guo B, Chen L (2010) RST invariant image watermarking based on invariant contents [C]//Proceedings of Fourth International Conference on Genetic and Evolutionary Computing (ICGEC), pp 675–678

  14. Lin C, Wu M, Bloom J, Cox I, Miller M, Lui Y (2001) Rotation, scale, and translation resilient watermarking for images [J]. IEEE Trans Image Process 10(5):767–782

    Article  MATH  Google Scholar 

  15. Liu H, Steinebach M (2012) Improved Fourier domain patchwork and template embedding using spatial masking[J]. Proc Spie, 8303(1):830305-830305-13

  16. Makbol N M, Khoo B E, Rassem T H (2014) Performance evaluation of SVD-based digital image watermarking scheme on print-scan and print-cam (PSPC) applications [C]//Intelligent Signal Processing and Communication Systems (ISPACS), 2014 International Symposium on IEEE, pp 048–053

  17. Namedanian M, Coppel LG, Neuman M et al (2013) Analysis of optical and physical dot gain by microscale image histogram and modulation transfer functions[J]. J Imaging Sci Technol 57(2):20504-1–20504-527

    Article  Google Scholar 

  18. Ouyang J, Coatrieux G, Chen B et al (2015) Color image watermarking based on quaternion Fourier transform and improved uniform log-polar mapping[J]. Comput Electr Eng 46:419–432

    Article  Google Scholar 

  19. Pereira S, Pun T (2000) Robust template matching for affine resistant image watermarks [J]. IEEE Trans Image Process 9(6):1123–1129

    Article  Google Scholar 

  20. Pereira S, Voloshynovskiy S, Madueno M et al (2001) Second generation benchmarking and application oriented evaluation [C]//Information Hiding. Springer Berlin Heidelberg, pp 340–353

  21. Petitcolas FAP (2000) Watermarking schemes evaluation. IEEE Signal Process 17(5):58–64

    Article  Google Scholar 

  22. Pramila A, Keskinarkaus A, Seppanen T (2008) Multiple domain watermarking for print-scan and JPEG resilient data hiding [J]. Lect Notes Comput Sci 5041:279–293

    Article  Google Scholar 

  23. Rani A, Raman B (2016) An image copyright protection scheme by encrypting secret data with the host image [J]. Multimedia Tools Appl 75(2):1027–1042

    Article  Google Scholar 

  24. Reed A M, Hannigan B T (2002) Adaptive color watermarking [C]//Electronic Imaging 2002. International Society for Optics and Photonics, pp 222–229

  25. Rentzeperis I, Alexander DM, Kiper DC et al (2015) Orientation perception anisotropies indicates functional segregation within the color system [J]. J Vis 15(9):13

    Article  Google Scholar 

  26. Solanki K, Madhow U, Manjunath BS et al (2004) Estimating and undoing rotation for print-scan resilient data hiding [C]//Image Processing, 2004. ICIP’04. 2004 International Conference on IEEE, 1: 39–42

  27. Tokar T, Levicky D (2007) Robust watermarking of gray scale images by using synchronization templates [C]// Proceedings of 17th International Conference Radioelektronika, pp 1–4

  28. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity [J]. IEEE Trans Image Process 13(4):600–612

    Article  Google Scholar 

  29. Wang C-y, Kong X-w, Guo J et al (2014) Adaptive color printing image watermarking based on ICC color space conversion [J]. J Optoelectron Laser 25(11):2186–2195

    Google Scholar 

  30. Wang C, Ni J, Zhuo H, Huang J (2010) A geometrically resilient robust image watermarking scheme using deformable multi-scale transform [C]//Proceedings of 17th IEEE International Conference on Image Processing (ICIP), pp 26–19

  31. Wei B (2014) DCT watermark algorithm robust against cropping attack [J]. J TaiYuan Normal Univ (Nat Sci Ed) 13(3):63–66

    Google Scholar 

  32. Weige L, Haisong X, Zhehong W, Ronnier Luo M (2011) Investigation of chromatic contrast sensitivity based on different color directions and spatial frequencies [J]. Acta Opt Sin 31(1):0133002-1–0133002-6

    Article  Google Scholar 

  33. Yong X, Yi Y, Haihu T et al (2014) Effect of embedding way on printed watermarking image by lithography [C]//Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on IEEE, pp 286–289

  34. Zheng D, Liu Y, Zhao J, Saddik A (2007) A survey of RST invariant image watermarking algorithms [J]. ACM Comput Surv 35(2):5

    Article  Google Scholar 

  35. Zhu X (2008) A new spatial perceptual mask for image watermarking. In: Proceedings of 19th International Conference on Pattern Recognition (ICPR 2008)

Download references

Acknowledgments

The authors would like to thank Prof. Raymond Stonkus for language assistance, the anonymous reviewers and editor for their very valuable comments and suggestions.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China

    Wang Cai-yin & Kong Xiang-wei

  2. School of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, Liaoning, 116034, China

    Wang Cai-yin & Li Chao

Authors
  1. Wang Cai-yin
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  2. Kong Xiang-wei
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  3. Li Chao
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Correspondence to Wang Cai-yin.

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Cai-yin, W., Xiang-wei, K. & Chao, L. Process color watermarking: the use of visual masking and dot gain correction. Multimed Tools Appl 76, 16291–16314 (2017). https://doi.org/10.1007/s11042-016-3909-x

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  • DOI: https://doi.org/10.1007/s11042-016-3909-x

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