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E-grāmata: Super-Resolution Imaging

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Super-Resolution Imaging serves as an essential reference for both academicians and practicing engineers. It can be used both as a text for advanced courses in imaging and as a desk reference for those working in multimedia, electrical engineering, computer science, and mathematics.
The first book to cover the new research area of super-resolution imaging, this text includes work on the following groundbreaking topics:
  • Image zooming based on wavelets and generalized interpolation;
  • Super-resolution from sub-pixel shifts;
  • Use of blur as a cue;
  • Use of warping in super-resolution;
  • Resolution enhancement using multiple apertures;
  • Super-resolution from motion data;
  • Super-resolution from compressed video;
  • Limits in super-resolution imaging.
Written by the leading experts in the field, Super-Resolution Imaging presents a comprehensive analysis of current technology, along with new research findings and directions for future work.

Papildus informācija

Springer Book Archives
Preface ix
Contributing Authors xi
1 Introduction 1(20)
Subhasis Chaudhuri
1.1 The\Word Resolution
2(1)
1.2 Illustration of Resolution
3(2)
1.3 Image Zooming
5(1)
1.4 Super-Resolution Restoration
6(2)
1.5 Earlier Work
8(6)
1.6 Organization of the Book
14(7)
2 Image Zooming: Use of Wavelets 21(24)
Narasimha Kaulgud
Uday B. Desai
2.1 Introduction
21(1)
2.2 Background
22(2)
2.3 Some Existing Methods
24(4)
2.4 Proposed Method
28(5)
2.5 Color Images
33(5)
2.6 Results and Discussion
38(3)
2.7 Conclusion
41(4)
3 Generalized Interpolation for Super-Resolution 45(28)
Deepu Rajan
Subhasis Chaudhuri
3.1 Introduction
46(2)
3.2 Theory of Generalized Interpolation
48(6)
3.3 Some applications of Generalized Interpolation
54(5)
3.4 Experimental Results
59(9)
3.5 Conclusions
68(5)
4 High Resolution Image from Low Resolution Images 73(34)
Brian C. Tom
Nikolas P. Galatsanos
Aggelos K. Katsaggelos
4.1 Introduction
74(7)
4.2 Literature Review
81(5)
4.3 Imaging Model
86(2)
4.4 Simultaneous Registration and Restoration, RR-I Approach
88(7)
4.5 Simultaneous Restoration, Registration and Interpolation: RRI Approach
95(2)
4.6 Experimental Results
97(4)
4.7 Conclusions and Future Work
101(6)
5 Super-Resolution Imaging Using Blur as a Cue 107(24)
Deepu Rajan
Subhasis Chaudhuri
5.1 Introduction
108(1)
5.2 Theory of MRF
109(3)
5.3 Modeling the Low Resolution Observations
112(2)
5.4 MAP Estimation of the Super-resolution Image
114(5)
5.5 Experimental Results
119(8)
5.6 Conclusions
127(4)
6 Super-Resolution via Image Warping 131(40)
Terrance E. Boult
Ming-Chao Chiang
Ross J. Micheals
6.1 Background and Introduction
132(1)
6.2 Image Formation, Image Restoration and Super-Resolution
133(2)
6.3 Imaging-Consistency and The Integrating Resampler
135(7)
6.4 Warping-based Super-Resolution
142(6)
6.5 Quantitative Evaluation
148(12)
6.6 Face-Based evaluation
160(5)
6.7 Conclusion
165(6)
7 Resolution Enhancement using Multiple Apertures 171(24)
Takashi Komatsu
Kiyoharu Aizawa
Takahiro Saito
7.1 Introduction
172(1)
7.2 Original Concept
173(5)
7.3 Image Acquisition with Multiple Different-Aperture Cameras
178(9)
7.4 Experimental Simulations
187(5)
7.5 Conclusions
192(3)
8 Super-Resolution from Mutual Motion 195(16)
Assaf Zomet
Shmuel Peleg
8.1 Introduction
196(3)
8.2 Efficient Gradient-based Algorithms
199(6)
8.3 Computational Analysis and Results
205(1)
8.4 Summary
206(5)
9 Super-Resolution from Compressed Video 211(32)
C. Andrew Segall
Aggelos K. Katsaggelos
Rafael Molina
Javier Mateos
9.1 Introduction
211(2)
9.2 Video Compression Basics
213(3)
9.3 Incorporating the Bit-Stream
216(6)
9.4 Compression Artifacts
222(3)
9.5 Super-Resolution
225(14)
9.6 Conclusions
239(4)
10 Super-Resolution: Limits and Beyond 243(34)
Simon Baker
Takeo Kanade
10.1 Introduction
244(1)
10.2 The Reconstruction Constraints
245(3)
10.3 Analysis of the Constraints
248(9)
10.4 Super-Resolution by Hallucination
257(14)
10.5 Summary
271(1)
10.6 Discussion
271(6)
Index 277
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