Computers and Electronics in Agriculture
Hierarchical Watermarking of Semiregular Meshes Based on Wavelet Transform
IEEE Transactions on Information Forensics and Security
Histogram-Based Audio Watermarking Against Time-Scale Modification and Cropping Attacks
IEEE Transactions on Multimedia
Multipurpose image watermarking algorithm based on multistage vector quantization
IEEE Transactions on Image Processing
Generalizing self-organizing map for categorical data
IEEE Transactions on Neural Networks
Cooperative information maximization with Gaussian activation functions for self-organizing maps
IEEE Transactions on Neural Networks
A Hopfield Neural Network for Image Change Detection
IEEE Transactions on Neural Networks
Rival-Model Penalized Self-Organizing Map
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Representation of Nonlinear Random Transformations by Non-Gaussian Stochastic Neural Networks
IEEE Transactions on Neural Networks
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In this paper, a novel audio color watermarking scheme based on Self-Organizing Map (SOM) neural network is proposed. The SOM neural network is introduced for preprocessing color watermark image and producing a codebook on which a series of operations are performed to obtain the hidden information. Without the perceivable distortion, such hidden information is embedded in the approximate wavelet coefficient of the host audio signal by a linear instantaneous mixing model. The process of extracting hidden information from the marked audio signal, which is the reverse process of the watermark embedding, is fulfilled by the inverse matrix of the linear instantaneous mixing matrix. The experimental results demonstrate the validity of the proposed color watermarking scheme.