Record ID | marc_loc_updates/v39.i48.records.utf8:1974668:3970 |
Source | Library of Congress |
Download Link | /show-records/marc_loc_updates/v39.i48.records.utf8:1974668:3970?format=raw |
LEADER: 03970cam a22002774a 4500
001 2001038229
003 DLC
005 20111125073910.0
008 010620s2001 maua b 001 0 eng
010 $a 2001038229
020 $a0792374711 (alk. paper)
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aTK8315$b.S88 2001
082 00 $a621.36/7$221
245 00 $aSuper-resolution imaging /$cedited by Subhasis Chaudhuri.
260 $aBoston :$bKluwer Academic Publishers,$cc2001.
300 $axiii, 279 p. :$bill. ;$c25 cm.
440 0 $aKluwer international series in engineering and computer science ;$vSECS 632
504 $aIncludes bibliographical references and index.
505 8 $aMachine 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.
650 0 $aHigh resolution imaging.
650 0 $aImaging systems.
650 0 $aImage processing$xDigital techniques.
700 1 $aChaudhuri, Subhasis.
856 41 $3Table of contents$uhttp://www.loc.gov/catdir/toc/fy031/2001038229.html