TY - GEN
T1 - Robust digital image watermarking using interest points and DFT domain
AU - Cedillo-Hernandez, M.
AU - Garcia-Ugalde, F.
AU - Nakano-Miyatake, M.
AU - Perez-Meana, H.
PY - 2012
Y1 - 2012
N2 - In this paper we present a robust watermarking method, in which the watermark is embedded into the magnitude of the middle frequencies of the Discrete Fourier Transform (DFT). To allow the correct watermark detection, even if the image has been distorted, the Speeded Up Robust Feature (SURF) is used. During the embedding process the SURF points are estimated and stored in advance to be used during the detection process. In the detection process, the SURF points of the distorted image are estimated, which are used together with the stored ones to compute the affine-transformation parameters. Using these parameters the geometric distortion is corrected before applying the cross-correlation operation used for watermark detection. The quality of the watermarked image is measured using the Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM). Experimental results show that the proposed method provides robustness against several geometric distortion and signal processing operations.
AB - In this paper we present a robust watermarking method, in which the watermark is embedded into the magnitude of the middle frequencies of the Discrete Fourier Transform (DFT). To allow the correct watermark detection, even if the image has been distorted, the Speeded Up Robust Feature (SURF) is used. During the embedding process the SURF points are estimated and stored in advance to be used during the detection process. In the detection process, the SURF points of the distorted image are estimated, which are used together with the stored ones to compute the affine-transformation parameters. Using these parameters the geometric distortion is corrected before applying the cross-correlation operation used for watermark detection. The quality of the watermarked image is measured using the Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM). Experimental results show that the proposed method provides robustness against several geometric distortion and signal processing operations.
KW - Copyright
KW - Digital Image Watermarking
KW - Geometrical Distortions
KW - SURF Points
KW - Salient Feature
UR - http://www.scopus.com/inward/record.url?scp=84866933265&partnerID=8YFLogxK
U2 - 10.1109/TSP.2012.6256390
DO - 10.1109/TSP.2012.6256390
M3 - Contribución a la conferencia
AN - SCOPUS:84866933265
SN - 9781467311182
T3 - 2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings
SP - 715
EP - 719
BT - 2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings
T2 - 2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012
Y2 - 3 July 2012 through 4 July 2012
ER -