1st Edition
Image Restoration Fundamentals and Advances
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
Biography
Bahadir K. Gunturk received his B.S. degree from Bilkent University, Turkey, and his Ph.D. degree from the Georgia Institute of Technology in 1999 and 2003, respectively, both in electrical engineering. Since 2003, he has been with the Department of Electrical and Computer Engineering at Louisiana State University, where he is an associate professor. His research interests are in image processing and computer vision. Dr. Gunturk was a visiting scholar at the Air Force Research Lab in Dayton, Ohio, and at Columbia University in New York City. He is the recipient of the Outstanding Research Award at the Center of Signal and Image Processing at Georgia Tech in 2001, the Air Force Summer Faculty Fellowship Program (SFFP) Award in 2011 and 2012, and named as a Flagship Faculty at Louisiana State University in 2009.
Xin Li received his B.S. degree with highest honors in electronic engineering and information science from the University of Science and Technology of China, Hefei, in 1996, and his Ph.D. degree in electrical engineering from Princeton University, Princeton, New Jersey, in 2000. He was a member of the technical staff with Sharp Laboratories of America, Camas, Washington, from August 2000 to December 2002. Since January 2003, he has been a faculty member in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. He is currently a tenured associate professor at that school. His research interests include image/video coding and processing. Dr. Li received a Best Student Paper Award at the Visual Communications and Image Processing Conference in 2001; a runner-up prize of Best Student Paper Award at the IEEE Asilomar Conference on Signals, Systems and Computers in 2006; and a Best Paper Award at the Visual Communications and Image Processing Conference in 2010.
