A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IBM Systems Journal
A method for obtaining digital signatures and public-key cryptosystems
Communications of the ACM
A Robust Digital Image Watermarking Scheme Using the Wavelet-Based Fusion
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A Robust Digital Image Watermarking Scheme Using the Wavelet-Based Fusion
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A multiresolution watermark for digital images
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Integrated Computer-Aided Engineering
Methods for image authentication: a survey
Multimedia Tools and Applications
Watermarking via zero assigned filter banks
Signal Processing
A wavelet-based particle swarm optimization algorithm for digital image watermarking
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
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The digital watermark technology is now drawing the attention as a new method of protecting copyrights for digital contents such as audio, image and video. It is realized by embedding information data about the copyright owner with an imperceptible form for human audio/visual systems. We present in this paper a method of digital watermark for image signals based on the discrete wavelet transform (DWT). In this method, information data can be embedded in the lowest frequency components of image signals by using a controlled quantization process. The data are then extracted by using both the quantization step-size and the mean amplitude of the lowest frequency components without access to the original image. Numerical experiments show that the proposed method provides a high-quality watermarked image and is robust against common signal processings such as JPEG compression, wavelet coding, additive noise, smoothing, reduction of grayscale level and scaling.