Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Blind curvelet watermarking method for high-quality images

The proposed method is a watermarking method for high-quality images that achieves high invisibility and good robustness using a curvelet domain. Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To meet this demand, the authors adopted a method of minimising the watermark-embedding energy by using the multi-directional decomposition technique, curvelet transformation. However, if a watermark is inserted into the curvelet domain with the watermarking technique of the conventional domains, it is distorted during the forward and inverse curvelet transform. To solve this problem, they designed a watermarking method by considering the characteristics of the curvelet filter. By minimising the watermark distortion caused by the curvelet transform, high robustness is achieved with small watermarking energy. The proposed method shows very good invisibility and is difficult to distinguish the original. In terms of robustness, the correlation value increased by >80% and BER decreased by >20% compared with previous methods.

References

    1. 1)
      • 5. Fehn, C.: ‘Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV’. Proc. SPIE 6819, Stereoscopic Displays and Virtual Reality Systems XI, San Jose, CA, USA, January 2004, doi:10.1117/12.524762.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
      • 3. Tao, P., Dexter, S., Eskicioglu, A.M.: ‘Robust digital image watermarking in curvelet domain’. Proc. SPIE 6819B, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, San Jose, CA, USA, January 2008, doi:10.1117/12.765895.
    7. 7)
      • 8. Cox, I., Miller, M., Bloom, J., et al: ‘Digital watermarking and steganography’ (Morgan Kaufmann, 2007).
    8. 8)
      • 9. Assembly, ITU Radiocommunication.: ‘Methodology for the subjective assessment of the quality of television pictures’ (International Telecommunication Union, 2003).
    9. 9)
    10. 10)
      • 6. Scharstein, D., Hirschmüller, H., Kitajima, Y., et al: ‘High-resolution stereo datasets with subpixel-accurate ground truth’. German Conf. Pattern Recognition. Springer International Publishing, 2014, pp. 3142.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.0955
Loading

Related content

content/journals/10.1049/el.2017.0955
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address