Hence by combining the advantages of spatial and spectral domainwatermarking methods, a robust and perceptual method is presented.
📌 3 Maddede Bu Makale
🎯
Amaç & Hipotez:Watermarking techniques are proposed as a solution to copyright protection of digital media files.
📊
Temel Bulgular & Veri:Inthis work, a newand powerful watermarking method that is based on spatiofrequency (SF)representations is presented.
💡
Sonuç & Katkı:Hence by combining the advantages of spatial and spectral domainwatermarking methods, a robust and perceptual method is presented.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Abstract
Watermarking techniques are proposed as a solution to copyright protection of digital media files. Inthis work, a newand powerful watermarking method that is based on spatiofrequency (SF)representations is presented. We use the discrete evolutionary transform calculated by the Gaborexpansion to represent an image in the SF domain. A watermark is embedded onto selected cells inthe joint SF domain. Hence by combining the advantages of spatial and spectral domainwatermarking methods, a robust and perceptual method is presented.
🔖
Bu Makaleye Atıf Yap
AKAN, A., ÇEKİÇ, Y., ÖZTÜRK, M. (2022). Spatio-frequency based image watermarking. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 9 - Sayı: 1, 913–920. https://ajindex.com/articles/543751
N.Nikolaidis, and I.Pitas, “Robust image watermarking in the spatial domain”, Signal Processing, vol.66, pp.385-403, 1998
O.Bruyndonckx, J.J.Quisquater, and B.Macq, “Spatial method for copyright labeling of digital images”, in Proc. IEEE Workshop on Nonlinear Signal and Image Processing, June 1995, pp. 456-459
M.Barni, F.Bartolini, A. De Rosa, and A. Piva, “Capacity of the watermark channel: How many bits can be hidden within a digital image?”, in Proc. SPIE, Jan. 1999, vol. 3657, pp. 437-448
J.J.K. O’Ruanaidh and T. Pun, “Rotation, scale and translation invariant digital image watermarking”, Signal Processing, vol.66, no.3, pp. 303-317, May 1998
S.Pereira, S.Voloshynoskiy, and T.Pun, “Optimal transform domain watermark embedding via linear programming”, Signal Processing, vol.81, no.6, pp.1251-1260, June 2001
S. Stankovic, I. Djurovic, and I. Pitas, “Watermarking in the space/spatial-frequency domain using two dimensional radon-wigner distribution”, IEEE Transactions on Image Processing, vol.10, pp.650-658, April 2001
B.G. Mobasseri, “Digital watermarking in the joint time frequency domain”, in IEEE Int. Conf. on Image Processing, 2002, vol.3, pp. 481-484
Suleesathira, R., Chaparro, L.F., and Akan, A., “Discrete Evolutionary Transform for Time- Frequency Analysis,” Journal of The Franklin Institute, Vol. 337, No. 4, pp.347-364, July 2000
M.Al-Khassaweneh and S.Aviyente, “A time- frequency inspired robust image watermarking”, Thirty-Eighth Asilomar Conference on Signals, Systems and Computers 2004, vol.1, pp.392-396, 2004.