Super-Resolution Imaging

By: Subhasis Chaudhuri (Editor)

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Hardcover | 30 September 2001

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296 Pages

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23.39 x 15.6 x 1.75

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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.

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Preface	p. ix
Contributing Authors	p. xi
Introduction	p. 1
The Word Resolution	p. 2
Illustration of Resolution	p. 3
Image Zooming	p. 5
Super-Resolution Restoration	p. 6
Earlier Work	p. 8
Organization of the Book	p. 14
Image Zooming: Use of Wavelets	p. 21
Introduction	p. 21
Background	p. 22
Some Existing Methods	p. 24
Proposed Method	p. 28
Color Images	p. 33
Results and Discussion	p. 38
Conclusion	p. 41
Generalized Interpolation for Super-Resolution	p. 45
Introduction	p. 46
Theory of Generalized Interpolation	p. 48
Some applications of Generalized Interpolation	p. 54
Experimental Results	p. 59
Conclusions	p. 68
High Resolution Image from Low Resolution Images	p. 73
Introduction	p. 74
Literature Review	p. 81
Imaging Model	p. 86
Simultaneous Registration and Restoration, RR-I Approach	p. 88
Simultaneous Restoration, Registration and Interpolation: RRI Approach	p. 95
Experimental Results	p. 97
Conclusions and Future Work	p. 101
Super-Resolution Imaging Using Blur as a Cue	p. 107
Introduction	p. 108
Theory of MRF	p. 109
Modeling the Low Resolution Observations	p. 112
MAP Estimation of the Super-resolution Image	p. 114
Experimental Results	p. 119
Conclusions	p. 127
Super-Resolution via Image Warping	p. 131
Background and Introduction	p. 132
Image Formation, Image Restoration and Super-Resolution	p. 133
Imaging-Consistency and The Integrating Resampler	p. 135
Warping-based Super-Resolution	p. 142
Quantitative Evaluation	p. 148
Face-Based evaluation	p. 160
Conclusion	p. 165
Resolution Enhancement using Multiple Apertures	p. 171
Introduction	p. 172
Original Concept	p. 173
Image Acquisition with Multiple Different-Aperture Cameras	p. 178
Experimental Simulations	p. 187
Conclusions	p. 192
Super-Resolution from Mutual Motion	p. 195
Introduction	p. 196
Efficient Gradient-based Algorithms	p. 199
Computational Analysis and Results	p. 205
Summary	p. 206
Super-Resolution from Compressed Video	p. 211
Introduction	p. 211
Video Compression Basics	p. 213
Incorporating the Bit-Stream	p. 216
Compression Artifacts	p. 222
Super-Resolution	p. 225
Conclusions	p. 239
Super-Resolution: Limits and Beyond	p. 243
Introduction	p. 244
The Reconstruction Constraints	p. 245
Analysis of the Constraints	p. 248
Super-Resolution by Hallucination	p. 257
Summary	p. 271
Discussion	p. 271
Index	p. 277
Table of Contents provided by Syndetics. All Rights Reserved.

Super-Resolution Imaging

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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