Digital watermarking based on neural networks for color images
Signal Processing - Special section on digital signal processing for multimedia communications and services
Digital watermarking
Analyses of error correction strategies for typical communication channels in watermarking
Signal Processing - Special section on information theoretic aspects of digital watermarking
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A novel image watermarking scheme based on support vector regression
Journal of Systems and Software
New Audio Embedding Technique Based on Neural Network
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Increasing robustness of an audio watermark using turbo codes
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Chirp-Based Image Watermarking as Error-Control Coding
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Watermarking Systems Engineering (Signal Processing and Communications, 21)
Watermarking Systems Engineering (Signal Processing and Communications, 21)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Watermarking security: a survey
Transactions on Data Hiding and Multimedia Security I
Watermarking is not cryptography
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Performance analysis of ST-DM watermarking in presence of nonadditive attacks
IEEE Transactions on Signal Processing - Part II
Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable models
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
A new decoder for the optimum recovery of nonadditive watermarks
IEEE Transactions on Image Processing
Locally optimum nonlinearities for DCT watermark detection
IEEE Transactions on Image Processing
Training feedforward networks with the Marquardt algorithm
IEEE Transactions on Neural Networks
Technical Communication: Authentication and recovery of images using multiple watermarks
Computers and Electrical Engineering
Intelligent threshold selection for reversible watermarking of medical images
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Information Sciences: an International Journal
A color image watermarking scheme based on artificial immune recognition system
Expert Systems with Applications: An International Journal
Fractal and neural networks based watermark identification
Multimedia Tools and Applications
Region based QIM digital watermarking scheme for image database in DCT domain
Computers and Electrical Engineering
A high throughput system for intelligent watermarking of bi-tonal images
Applied Soft Computing
A new SVM-based image watermarking using Gaussian-Hermite moments
Applied Soft Computing
Intelligent reversible watermarking in integer wavelet domain for medical images
Journal of Systems and Software
Image clustering using improved spatial fuzzy C-means
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Unsupervised neural techniques applied to MR brain image segmentation
Advances in Artificial Neural Systems - Special issue on Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine
Intelligent reversible watermarking and authentication: Hiding depth map information for 3D cameras
Information Sciences: an International Journal
Computers and Electrical Engineering
Neuro fuzzy and punctual kriging based filter for image restoration
Applied Soft Computing
Audio watermarking scheme robust against desynchronization attacks based on kernel clustering
Multimedia Tools and Applications
Genetic programming based blind image deconvolution for surveillancesystems
Engineering Applications of Artificial Intelligence
Using robust dispersion estimation in support vector machines
Pattern Recognition
Genetic algorithm and difference expansion based reversible watermarking for relational databases
Journal of Systems and Software
Dual-purpose semi-fragile watermark: Authentication and recovery of digital images
Computers and Electrical Engineering
Information Sciences: an International Journal
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering
Information Sciences: an International Journal
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We present an innovative scheme of blindly extracting message bits when a watermarked image is distorted. In this scheme, we have exploited the capabilities of machine learning (ML) approaches for nonlinearly classifying the embedded bits. The proposed technique adaptively modifies the decoding strategy in view of the anticipated attack. The extraction of bits is considered as a binary classification problem. Conventionally, a hard decoder is used with the assumption that the underlying distribution of the discrete cosine transform coefficients do not change appreciably. However, in case of attacks related to real world applications of watermarking, such as JPEG compression in case of shared medical image warehouses, these coefficients are heavily altered. The sufficient statistics corresponding to the maximum likelihood based decoding process, which are considered as features in the proposed scheme, overlap at the receiving end, and a simple hard decoder fails to classify them properly. In contrast, our proposed ML decoding model has attained highest accuracy on the test data. Experimental results show that through its training phase, our proposed decoding scheme is able to cope with the alterations in features introduced by a new attack. Consequently, it achieves promising improvement in terms of bit correct ratio in comparison to the existing decoding scheme.