The Method of Normalization to Determine Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Affine Invariant Image Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Capacity of full frame DCT image watermarks
IEEE Transactions on Image Processing
A framework for evaluating the data-hiding capacity of image sources
IEEE Transactions on Image Processing
Digital watermarking robust to geometric distortions
IEEE Transactions on Image Processing
Fragile and resistant image watermarking based on inverse difference pyramid decomposition
WSEAS Transactions on Signal Processing
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The goal of this study is to investigate how the moment based image normalization procedure that is used to increase robustness of a digital image watermark especially for geometrical attacks affects the capacity of a digital image watermarking algorithm. For this purpose, watermark was inserted in discrete cosine and wavelet domains with and without normalization. Then, several attacks were performed on the watermarked images and the capacities of the resulting distorted images were estimated by using the statistical approach proposed by Moulin and Mihcak. Simulations show that the discrete wavelet transform always outperforms the discrete cosine transform.