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Copyright protection of color images for android-based smartphones using watermarking with quick-response code

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Abstract

In this paper, a color image watermarking scheme for copyright protection is proposed and designed to be implemented for Android-based smartphones. Characteristic-based image watermarking techniques were modified and made suitable for power limited smartphones. The security features were improved through implementing image scrambling on the watermark prior to embedding into the DWT domain. The features of the QR codes, including the high capacity and error correction capabilities, were exploited and employed. The QR codes were used as the watermarks to carry the ownership information. The proposed scheme was robust against JPEG compression with about 60–70% compression ratio and it resists noise attacks at noisy image quality with PSNR = 15–35 dB. Moreover, robustness against various malicious attacks was achieved including image cropping, object replacement, etc. An Android application has been developed, based on the proposed scheme, to demonstrate the capabilities of this study.

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References

  1. Anitha J, Pandian SIA (2010) A color image digital watermarking scheme based on SOFM. Int J Comput Sci Issues 7(5):302–309

    Google Scholar 

  2. Areepongsa S, Kaewkamnerd N, Syed YF and Rao KR (2000) Exploring on steganography for low bit rate wavelet based coder in image retrieval system. Proceedings of IEEE TENCON, Kuala Lumpur, Malaysia, vol. 3, pp. 250–255

  3. BS ISO/IEC 18004:2006. Information technology. Automatic identification and data capture techniques. Bar code symbology. QR Code. Geneva: ISO/IEC. 2000

  4. Chen J-H, Chen W-Y, and Chen C-H (2014) Identification recovery scheme using quick response (QR) code and watermarking technique. Appl Math Inf Sci 8(2):585

  5. Muhle F (2014) Christian Fuchs (2014): Social Media. A critical introduction. Los Angeles et al.: Sage Publications. M & K Medien & Kommunikationswissenschaft 62(4):662-663

  6. Denso A D C (2011) Qr code essentials. Denso Wave 900

  7. Dewangan, Ravi Prakash, and Chandra shekhar Kamargaonkar. Image Encryption using Random Permutation by Different Key Size. International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 10; 2015, pp. 3531–3535

  8. Gilbert H and Handschuh H (2003) Security analysis of SHA-256 and sisters. International workshop on selected areas in cryptography. Springer Berlin, Heidelberg

  9. Hashmi M F, Ronak J S, and Avinash G K (2015) Real time copyright protection and implementation of image and video processing on Android and embedded platforms. Procedia Comput Sci 46:1626-1634

  10. Huang H-C, Fang W-C (2010) Metadata-based image watermarking for copyright protection. Simul Model Pract Theory 18(4):436–445

    Article  Google Scholar 

  11. Jin C, Pan L-G, and Su T (2007) Image watermark using visual model based discrete wavelet transform. Int J Comput Sci Eng Syst 1(2):119-124

  12. Keissarian, F (2007) An image watermarking scheme based on image visual activity for copyright protection. 4th International Conference on Innovations in Information Technology, 665–669

  13. Khan AA and Gupta P (2011) Digital image watermarking technique based on discrete wavelet transform, CSECS'11/MECHANICS'11. Proceedings of the 10th WSEAS international conference on circuits, systems, electronics, Control & Signal Processing, and proceedings of the 7th WSEAS international conference on applied and theoretical Mechanics, pp. 168-171

  14. Li C-G, Han Z-Z, Zhang H-R (2002) Image encryption techniques: A survey. Journal of Computer Research and Development 39(10):1317–1324

    Google Scholar 

  15. Li L, Qian J, Pan J-S (2011) Characteristic region based watermark embedding with RST invariance and high capacity. AEU - Int J Electron Commun 65(5):435–442

    Article  Google Scholar 

  16. Miao N, He Y, Dong J (2012) hymnMark: towards efficient digital watermarking on android smartphones. Proceedings of the international conference on wireless networks (ICWN). The steering Committee of the World Congress in computer science, computer engineering and applied computing (WorldComp), pp. 348-356

  17. Nagham H, Yahya A, Ahmad RB and Al-Qersh O (2012) Characteristic region based image steganography using speeded-up robust features technique. IEEE international conference future communication networks 2012 (ICFCN), pp 141-146

  18. Owen S (2013) Zxing. Crossing, Zebra

    Google Scholar 

  19. Pathak A, Hu YC, Zhang M (2012) Where is the energy spent inside my app? Fine grained energy accounting on smartphones with. Eprof, Eurosys

    Google Scholar 

  20. Ross A, Chen S, Yuan Z (2014) Smartphone energy consumption of multimedia services in heterogeneous wireless networks. Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International. IEEE, Nicosia, pp. 1147-1151

  21. Swanson MD, Zhu B, Tewfik AH (1996) Transparent robust image watermarking. Proceeding of the international conference on mage processing, 1996, vol 3. IEEE, Lausanne, pp. 211-214

  22. Vinod P, Pareek NK, Purohit G, Sud KK (2011) A robust and secure chaotic standard map based pseudorandom permutation-substitution scheme for image encryption. Opt Commun 284(19):4331–4339

    Article  Google Scholar 

  23. Wang L, Lin Y (2004) Wavelet tree quantizing for copyright protection watermarking. IEEE Trans Image Process 2(3):154–165

    Article  Google Scholar 

  24. Wang XY et al (2013) A robust blind color image watermarking in quaternion Fourier transform domain. J Syst Softw 86(2):255–277

    Article  Google Scholar 

  25. Yueh-Hong C, Huang H-C (2011) A copyright information embedding system for android platform. IEEE Seventh international conference on. Intelligent information hiding and multimedia signal processing (IIH-MSP). IEEE, Dalian, pp 21-24

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Authors and Affiliations

  1. EE Department, Jordan University of Science & Technology, P.O. Box 3030, Irbid, 22110, Jordan

    Hazem Al-Otum & Nour Emad Al-Shalabi

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  1. Hazem Al-Otum
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  2. Nour Emad Al-Shalabi
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Correspondence to Hazem Al-Otum.

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Al-Otum, H., Al-Shalabi, N.E. Copyright protection of color images for android-based smartphones using watermarking with quick-response code. Multimed Tools Appl 77, 15625–15655 (2018). https://doi.org/10.1007/s11042-017-5138-3

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  • DOI: https://doi.org/10.1007/s11042-017-5138-3

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