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access icon free Improved imperceptible visible watermarking algorithm for auxiliary information delivery

An imperceptible visible watermarking (IVW) algorithm is proposed to deliver auxiliary information about the visual contents, including ownership information. The proposed algorithm overcomes several inconveniences presented in previously reported IVW algorithms using the just noticeable difference (JND) criterion, invisible watermarking and binarisation function. The proposed algorithm consists of the visible watermark embedding and the exhibition stages. The JND criterion is used to embed visible watermark pattern in an imperceptible manner by the human visual system, while invisible watermarking based on the discrete cosine transform is used to share crucial parameters between both stages, which makes possible the watermark visualisation without any side information. In the watermark exhibition stage, the imperceptibly embedded visible watermark pattern is exhibited by the binarisation function. The proposed algorithm can be applied to any class of images with different characteristics and several visible watermark patterns can be embedded into an input image. Evaluation results show that performance of the proposed algorithm is better compared with previously reported algorithms from several practical points of view.

References

    1. 1)
      • 12. Barker, C., Wiatrowski, M.: ‘The age of Netflix: critical essays on streaming media, digital delivery and instant access’ (Mcfarland & Co., Inc. Pub., North Carolina, USA, 2017, 1st edn.).
    2. 2)
      • 14. Yu, P., Shang, Y., Li, C.: ‘A new visible watermarking technique applied to CMOS image sensor’. Proc. SPIE Multispectral Image Acquisition, Processing and Analysis, Wuhan, China, October 2013, p. 8917.
    3. 3)
      • 11. Liu, A., Lin, W., Paul, M., et al: ‘Just Noticeable Difference for image with decomposition model for separating edge and textured regions’, IEEE Trans. Circuits Syst. Video Technol., 2010, 20, (11), pp. 16481652.
    4. 4)
      • 3. Cedillo, M., García, F., Nakano, M., et al: ‘Robust hybrid color image watermarking method based on DFT domain and 2D histogram modification’, J. Signal Image Video Process., 2015, 8, (1), pp. 4963.
    5. 5)
      • 13. Podilchuk, C., Zeng, W.: ‘Image-adaptive watermarking using visual model’, IEEE J. Sel. Areas Commun., 1998, 16, (4), pp. 525539.
    6. 6)
      • 9. Lin, P.-Y.: ‘Imperceptible visible watermarking based on post camera histogram operation’, J. Syst. Softw., 2014, 95, pp. 194208.
    7. 7)
      • 5. Rosales, L., Cedillo, M., Nakano, M., et al: ‘Watermarking-based image authentication with recovery capability using halftoning technique’, Signal Process., Image Commun., 2013, 28, pp. 6983.
    8. 8)
      • 7. Yaslan, Y., Gunsel, B.: ‘An integrated on-line audio watermark decoding scheme for broadcast monitoring’, Multimedia Tools Appl., 2008, 40, (1), pp. 121.
    9. 9)
      • 2. Cox, I., Kilian, J, Leighton, F., et al: ‘Secure spread spectrum watermarking for multimedia’, IEEE Trans. Image Process., 1997, 6, (12), pp. 16731687.
    10. 10)
      • 8. Huang, C.-H., Chuang, S.-C., Huang, Y.-L., et al: ‘Unseen visible watermarking: a novel methodology for auxiliary information delivery via visual contents’, IEEE Trans. Inf. Forensics Sec., 2009, 4, (2), pp. 193206.
    11. 11)
      • 6. Arab, F., Abdullah, S.M., Hashim, S.M., et al: ‘A robust video watermarking technique for the tamper detection of surveillance systems’, Multimedia Tools Appl., 2016, 75, (18), pp. 1085510885.
    12. 12)
      • 10. Juarez, O., Fragoso, E., Cedillo, M., et al: ‘Improved unseen-visible watermarking for copyright protection of digital image’. Proc. Int. Workshop on Biometrics and Forensics, Coventry, UK, April 2017..
    13. 13)
      • 1. Langelaar, G., Setyawan, I., Lagendijk, R.: ‘Watermarking digital image and video data. A state-of-the-art overview’, IEEE Signal Process. Mag., 2000, 17, (5), pp. 2046.
    14. 14)
      • 15. Chen, B., Wornell, G.W.: ‘Quantization index modulation: a class of provably good method for digital watermarking and information embedding’, IEEE Trans. Inf. Theor., 2001, 47, (4), pp. 14231443.
    15. 15)
      • 4. Barni, M., Bartolini, F., Piva, A.: ‘Improved wavelet-based watermarking through pixel-wise masking’, IEEE Trans. Image Process., 2001, 10, (5), pp. 783791.
    16. 16)
      • 16. Schaefer, G., Stich, M.: ‘UCID – an uncompressed colour image database’. available at http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.101.8709&rep=rep1&type=pdf, accessed 1st July 2017..
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