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Super-resolution imaging /

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chaudhuri, Subhasis
Format: eBook
Language:English
Published: Boston : Kluwer Academic Publishers, [2001]
Series:Kluwer international series in engineering and computer science ; SECS 632.
Subjects:
Imaging systems.
Image processing > Digital techniques.
TECHNOLOGY & ENGINEERING > Imaging Systems.
Computer science.
Electronic and Computer Engineering.
Multimedia Information Systems.
Computer Imaging, Graphics and Computer Vision.
Computer Graphics.
Image processing.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Machine generated contents note: 1
  • Introduction 1
  • Subhasis Chaudhuri
  • 1.1 The Word Resolution 2
  • 1.2 Illustration of Resolution 3
  • 1.3 Image Zooming 5
  • 1.4 Super-Resolution Restoration 6
  • 1.5 Earlier Work 8
  • 1.6 Organization of the Book 14
  • 2
  • Image Zooming: Use of Wavelets 21
  • Narasimha Kaulgud and Uday B. Desai
  • 2.1 Introduction 21
  • 2.2 Background 22
  • 2.3 Some Existing Methods 24
  • 2.4 Proposed Method 28
  • 2.5 Color Images 33
  • 2.6 Results and Discussion 38
  • 2.7 Conclusion 41
  • 3
  • Generalized Interpolation for Super-Resolution 45
  • Deepu Rajan and Subhasis Chaudhuri
  • 3.1 Introduction 46
  • 3.2 Theory of Generalized Interpolation 48
  • 3.3 Some applications of Generalized Interpolation 54
  • 3.4 Experimental Results 59
  • 3.5 Conclusions 68
  • 4
  • High Resolution Image from Low Resolution Images 73
  • Brian C. Tom, Nikolas P. Galatsanos and Aggelos K. Katsaggelos
  • 4.1 Introduction 74
  • 4.2 Literature Review 81
  • 4.3 Imaging Model 86
  • 4.4 Simultaneous Registration and Restoration, RR-I Approach 88
  • 4.5 Simultaneous Restoration, Registration and Interpolation: RRI
  • Approach 95
  • 4.6 Experimental Results 97
  • 4.7 Conclusions and Future Work 101
  • 5
  • Super-Resolution Imaging Using Blur as a Cue 107
  • Deepu Rajan and Subhasis Chaudhuri
  • 5.1 Introduction 108
  • 5.2 Theory of MRF 109
  • 5.3 Modeling the Low Resolution Observations 112
  • 5.4 MAP Estimation of the Super-resolution Image 114
  • 5.5 Experimental Results 119
  • 5.6 Conclusions 127
  • 6
  • Super-Resolution via Image Warping 131
  • Terrance E. Boult, Ming-Chao Chiang and Ross J. Micheals
  • 6.1 Background and Introduction 132
  • 6.2 Image Formation, Image Restoration and Super-Resolution 133
  • 6.3 Imaging-Consistency and The Integrating Resampler 135
  • 6.4 Warping-based Super-Resolution 142
  • 6.5 Quantitative Evaluation 148
  • 6.6 Face-Based evaluation 160
  • 6.7 Conclusion 165
  • 7
  • Resolution Enhancement using Multiple Apertures 171
  • Takashi Komatsu, Kiyoharu Aizawa and Takahiro Saito
  • 7.1 Introduction 172
  • 7.2 Original Concept 173
  • 7.3 Image Acquisition with Multiple Different-Aperture Cameras 178
  • 7.4 Experimental Simulations 187
  • 7.5 Conclusions 192
  • 8
  • Super-Resolution from Mutual Motion 195
  • Assaf Zomet and Shmuel Peleg
  • 8.1 Introduction 196
  • 8.2 Efficient Gradient-based Algorithms 199
  • 8.3 Computational Analysis and Results 205
  • 8.4 Summary 206
  • 9
  • Super-Resolution from Compressed Video 211
  • C. Andrew Segall, Aggelos K. Katsaggelos, Rafael Molina and
  • Javier Mateos
  • 9.1 Introduction 211
  • 9.2 Video Compression Basics 213
  • 9.3 Incorporating the Bit-Stream 216
  • 9.4 Compression Artifacts 222
  • 9.5 Super-Resolution 225
  • 9.6 Conclusions 239
  • 10
  • Super-Resolution: Limits and Beyond 243
  • Simon Baker and Takeo Kanade
  • 10.1 Introduction 244
  • 10.2 The Reconstruction Constraints 245
  • 10.3 Analysis of the Constraints 248
  • 10.4 Super-Resolution by Hallucination 257
  • 10.5 Summary 271
  • 10.6 Discussion 271.