A DCT-domain system for robust image watermarking
Signal Processing
Robust multi-logo watermarking by RDWT and ICA
Signal Processing - Fractional calculus applications in signals and systems
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Gray and color image contrast enhancement by the curvelet transform
IEEE Transactions on Image Processing
Nonblind and quasiblind natural preserve transform watermarking
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
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A new curvelet-based watermarking technique is presented in this paper, in which watermark signals are selected to be a gray-scale logo image. The curvelet transform was developed in order to represent edges along curves much more efficiently than the traditional transforms. We apply the transform to watermarking and evaluate the effectiveness of the method. Our watermarking algorithm embeds a watermark in curvelet coefficients which are selected by a criterion whether they contain as much edge information as possible. We evaluated the effectiveness of the method against some watermark attacks. Experiment results show that our new method yields quite good visual quality in watermarked images, and is robust to typical signal processing attacks such as compression, cropping, adding noise and filtering.