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| Preface | |
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| Acknowledgments | |
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| Authors | |
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| Introduction | |
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| Image Interpolation | |
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| Image Super-Resolution | |
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| Polynomial Image Interpolation | |
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| Introduction | |
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| Classical Image Interpolation | |
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| B-Spline Image Interpolation | |
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| Polynomial Splines | |
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| B-Spline Variants | |
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| Nearest Neighbor Interpolation | |
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| Linear Interpolation | |
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| Cubic Spline Interpolation | |
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| Digital Filter Implementation of B-Spline Interpolation | |
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| O-MOMS Interpolation | |
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| Keys' (Bicubic) Interpolation | |
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| Artifacts of Polynomial Image Interpolation | |
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| Ringing | |
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| Aliasing | |
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| Blocking | |
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| Blurring | |
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| Adaptive Polynomial Image Interpolation | |
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| Introduction | |
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| Low-Resolution Image Degradation Model | |
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| Linear Space-Invariant Image Interpolation | |
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| Warped-Distance Image Interpolation | |
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| Weighted Image Interpolation | |
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| Iterative Image Interpolation | |
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| Simulation Examples | |
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| Neural Modeling of Polynomial Image Interpolation | |
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| Introduction | |
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| Fundamentals of ANNs | |
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| Cells | |
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| Layers | |
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| Arcs | |
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| Weights | |
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| Activation Rules | |
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| Activation Functions | |
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| Identity Function | |
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| Step Function | |
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| Sigmoid Function | |
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| Piecewise-Linear Function | |
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| Arc Tangent Function | |
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| Hyperbolic Tangent Function | |
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| Outputs | |
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| Learning Rules | |
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| Supervised Learning | |
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| Unsupervised Learning | |
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| Neural Network Structures | |
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| Multi-Layer Perceptrons | |
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| Radial Basis Function Networks | |
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| Wavelet Neural Network | |
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| Recurrent ANNs | |
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| Training Algorithm | |
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| Neural Image Interpolation | |
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| Simulation Examples | |
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| Color Image Interpolation | |
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| Introduction | |
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| Color Filter Arrays | |
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| White Balance | |
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| Bayer Interpolation | |
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| Linear Interpolation with Laplacian Second Order Correction | |
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| Adaptive Color Image Interpolation | |
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| Image Interpolation for Pattern Recognition | |
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| Introduction | |
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| Cepstral Pattern Recognition | |
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| Feature Extraction | |
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| Extraction of MFCCs | |
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| Framing and Windowing | |
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| Discrete Fourier Transform | |
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| Mel Filter Bank | |
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| Discrete Cosine Transform | |
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| Polynomial Coefficients | |
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| Feature Extraction from Discrete Transforms | |
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| Discrete Wavelet Transform | |
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| Discrete Cosine Transform | |
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| Discrete Sine Transform | |
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| Feature Matching Using ANNs | |
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| Simulation Examples | |
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| Image Interpolation as Inverse Problem | |
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| Introduction | |
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| Adaptive Least-Squares Image Interpolation | |
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| LMMSE Image Interpolation | |
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| Maximum Entropy Image Interpolation | |
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| Regularized Image Interpolation | |
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| Simulation Examples | |
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| Interpolation of Infrared Images | |
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| Image Registration | |
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| Introduction | |
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| Applications of Image Registration | |
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| Different Viewpoints (Multi-View Analysis) | |
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| Different Times (Multi-Temporal Analysis) | |
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| Different Sensors (Multi-Modal Analysis) | |
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| Scene-to-Model Registration | |
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| Steps of Image Registration | |
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| Feature Detection Step | |
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| Feature Matching Step | |
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| Area-Based Methods | |
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| Feature-Based Methods | |
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| Transform Model Estimation | |
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| Global Mapping Models | |
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| Local Mapping Models | |
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| Image Resampling and Transformation | |
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| Evaluation of Image Registration Accuracy | |
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| Image Fusion | |
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| Introduction | |
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| Objectives of Image Fusion | |
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| Implementation of Image Fusion | |
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| Pixel Level Image Fusion | |
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| Principal Component Analysis Fusion | |
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| Wavelet Fusion | |
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| DWT Fusion | |
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| DWFT Fusion | |
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| Curvelet Fusion | |
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| Sub-Band Filtering | |
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| Tiling | |
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| Ridgelet Transform | |
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| IHS Fusion | |
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| High-Pass Filter Fusion | |
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| Gram-Schmidt Fusion | |
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| Fusion of Satellite Images | |
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| Fusion of MR and CT Images | |
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| Super-Resolution with a Priori Information | |
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| Introduction | |
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| Multiple Observation LR Degradation Model | |
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| Wavelet-Based Image Super-Resolution | |
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| Simplified Multi-Channel Degradation Model | |
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| Multi-Channel Image Restoration | |
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| Multi-Channel LMMSE Restoration | |
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| Multi-Channel Maximum Entropy Restoration | |
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| Multi-Channel Regularized Restoration | |
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| Simulation Examples | |
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| Blind Super-Resolution Reconstruction of Images | |
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| Introduction | |
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| Problem Formulation | |
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| Two-Dimensional GCD Algorithm | |
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| Blind Super-Resolution Reconstruction Approach | |
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| Simulation Examples | |
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| Discrete B-Splines | |
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| Toeplitz-to-Circulant Approximations | |
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| Newton's Method | |
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| MATLAB� Codes | |
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| References | |
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| Index | |