How to generate cryptographically strong sequences of pseudo-random bits
SIAM Journal on Computing
Robust audio watermarking using perceptual masking
Signal Processing
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Wavelet packets-based digital watermarking for image verification and authentication
Signal Processing - Special section: Security of data hiding technologies
Blind image data hiding based on self reference
Pattern Recognition Letters
Capacity for JPEG2000-to-JPEG2000 images watermarking
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Feature based RDWT watermarking for multimodal biometric system
Image and Vision Computing
Visibility of wavelet quantization noise
IEEE Transactions on Image Processing
Hidden digital watermarks in images
IEEE Transactions on Image Processing
Hierarchical watermarking for secure image authentication with localization
IEEE Transactions on Image Processing
Wavelet tree quantization for copyright protection watermarking
IEEE Transactions on Image Processing
Performance evaluation of moment-based watermarking methods: A review
Journal of Systems and Software
Journal of Systems and Software
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This work proposes a wavelet-based image watermarking (WIW) technique, based on the human visible system (HVS) model and neural networks, for image copyright protection. A characteristic of the HVS, which is called the just noticeable difference (JND) profile, is employed in the watermark embedding to enhance the imperceptibility of the technique. First, we derive the allowable visibility ranges of the JND thresholds for all coefficients of a wavelet-transformed image. The WIW technique exploits the ranges to compute the adaptive strengths to be superimposed in the wavelet coefficients while embedding watermarks. An artificial neural network (ANN) is then used to memorize the relationships between the original wavelet coefficients and its watermark version. Consequently, the trained ANN is utilized for estimating the watermark without the original image. Many existing schemes require the original image to be involved in the calculation of the JND profile of the image. Finally, computer simulations demonstrate that both transparency and robustness of the WIW technique are superior to that of other proposed methods.