Image Restoration: Fundamentals and Advances

Image Restoration: Fundamentals and Advances - USA CRC Press 2015 - 343p - Digital Imaging and Computer Vision Series .

Preface
Editors
Contributors
Image Denoising: Past, Present, and Future
Fundamentals of Image Restoration
Restoration in the Presence of Unknown Spatially Varying Blur
Image Denoising and Restoration Based on Nonlocal Means
Sparsity Regularized Image Restoration: Locality and Convexity Revisited
Resolution Enhancement Using Prior Information
Transform Domain-Based Learning for Super Resolution Restoration
Super Resolution for Multispectral Image Classification
Color Image Restoration Using Vector Filtering Operators
Document Image Restoration and Analysis as Separation of Mixtures of Patterns: From Linear to Nonlinear Models
Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera

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