Image Restoration

Image Denoising: Past, Present, and Future, X. Li Historical Review of Image Denoising First Episode: Local Wiener Filtering Second Episode: Understanding Transient Events Third Generation: Understanding Nonlocal Similarity Conclusions and Perspectives Fundamentals of Image Restoration, B.K. Gunturk Linear Shift-Invariant Degradation Model Image Restoration Methods Blind Image Restoration Other Methods of Image Restoration Super Resolution Image Restoration Regularization Parameter Estimation Beyond Linear Shift-Invariant Imaging Model Restoration in the Presence of Unknown Spatially Varying Blur, M. Sorel and F. Sroubek Blur models Space-Variant Super Resolution Image Denoising and Restoration Based on Nonlocal Means, P. van Beek, Y. Su, and J. Yang Image Denoising Based on the Nonlocal Means Image Deblurring Using Nonlocal Means Regularization Recent Nonlocal and Sparse Modeling Methods Reducing Computational Cost of NLM-Based Methods Sparsity-Regularized Image Restoration: Locality and Convexity Revisited, W. Dong and X. Li Historical Review of Sparse Representations From Local to Nonlocal Sparse Representations From Convex to Nonconvex Optimization Algorithms Reproducible Experimental Results Conclusions and Connections Resolution Enhancement Using Prior Information, H.M. Shieh, C.L. Byrne, and M.A. Fiddy Fourier Transform Estimation and Minimum L2-Norm Solution Minimum Weighted L2-Norm Solution Solution Sparsity and Data Sampling Minimum L1-Norm and Minimum Weighted L1-Norm Solutions Modification with Nonuniform Weights Summary and Conclusions Transform Domain-Based Learning for Super Resolution Restoration, P.P. Gajjar, M.V. Joshi, and K.P. Upla Introduction to Super Resolution Related Work Description of the Proposed Approach Transform Domain-Based Learning of the Initial HR Estimate Experimental Results Conclusions and Future Research Work Super Resolution for Multispectral Image Classification, F. Li, X. Jia, D. Fraser, and A. Lambert Methodology Experimental Results Color Image Restoration Using Vector Filtering Operators, R. Lukac Color Imaging Basics Color Space Conversions Color Image Filtering Color Image Quality Evaluation Document Image Restoration and Analysis as Separation of Mixtures of Patterns: From Linear to Nonlinear Models, A. Tonazzini, I. Gerace, and F. Martinelli Linear Instantaneous Data Model Linear Convolutional Data Model Nonlinear Convolutional Data Model for the Recto-Verso Case Conclusions and Future Prospects Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera, Y.-W. Tai and M.S. Brown Related Work Hybrid Camera System Optimization Framework Deblurring of Moving Objects Temporal Upsampling Results and Comparisons