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Super-resolution imaging /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Kluwer Academic Publishers,
©2001.
|
| Colección: | Kluwer international series in engineering and computer science ;
SECS 632. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Super-resolution imaging / |c edited by Subhasis Chaudhuri. |
| 260 | |a Boston : |b Kluwer Academic Publishers, |c ©2001. | ||
| 300 | |a 1 online resource (xiii, 279 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 490 | 1 | |a Kluwer international series in engineering and computer science ; |v SECS 632 | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a Annotation |b Editor Chaudhuri (electrical engineering, Indian Institute of Technology-Bombay) requested contributions from an international team of authors that would cover a range of problems and methods under the broad topic of super-resolution imaging--generating a very high- resolution image from a set of low-resolution observations--in order to provide a survey of the state of the field. The text is intended for upper-level undergraduates and graduate students in electrical engineering, computer science, and mathematics who are taking courses in image processing and computer vision, as well as for working researchers and engineers. A background in image processing isn't a prerequisite, but some knowledge of image restoration is helpful. Annotation c. Book News, Inc., Portland, OR (booknews.com). | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover -- Table of Contents -- Preface -- Contributing Authors -- Chapter 1 Introduction -- 1.1 The Word Resolution -- 1.2 Illustration of Resolution -- 1.3 Image Zooming -- 1.4 Super-Resolution Restoration -- 1.5 Earlier Work -- 1.6 Organization of the Book -- Chapter 2 Image Zooming: Use of Wavelets -- 2.1 Introduction -- 2.2 Background -- 2.3 Some Existing Methods -- 2.4 Proposed Method -- 2.5 Color Images -- 2.6 Results and Discussion -- 2.7 Conclusion -- Chapter 3 Generalized Interpolation for Super-Resolution -- 3.1 Introduction -- 3.2 Theory of Generalized Interpolation -- 3.3 Some applications of Generalized Interpolation -- 3.4 Experimental Results -- 3.5 Conclusions -- Chapter 4 High Resolution Image from Low Resolution Images -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Imaging Model -- 4.4 Simultaneous Registration and Restoration, RR-I Approach -- 4.5 Simultaneous Restoration, Registration and Interpolation: RRI Approach -- 4.6 Experimental Results -- 4.7 Conclusions and Future Work -- Chapter 5 Super-Resolution Imaging Using Blur as a Cue -- 5.1 Introduction -- 5.2 Theory of MRF -- 5.3 Modeling the Low Resolution Observations -- 5.4 MAP Estimation of the Super-resolution Image -- 5.5 Experimental Results -- 5.6 Conclusions -- Chapter 6 Super-Resolution via Image Warping -- 6.1 Background and Introduction -- 6.2 Image Formation, Image Restoration and Super-Resolution -- 6.3 Imaging-Consistency and The Integrating Resampler -- 6.4 Warping-based Super-Resolution -- 6.5 Quantitative Evaluation -- 6.6 Face-Based evaluation -- 6.7 Conclusion -- Chapter 7 Resolution Enhancement using Multiple Apertures -- 7.1 Introduction -- 7.2 Original Concept -- 7.3 Image Acquisition with Multiple Different-Aperture Cameras -- 7.4 Experimental Simulations -- 7.5 Conclusions -- Chapter 8 Super-Resolution from Mutual Motion -- 8.1 Introduction -- 8.2 Efficient Gradient-based Algorithms -- 8.3 Computational Analysis and Results -- 8.4 Summary -- Chapter 9 Super-Resolution from Compressed Video -- 9.1 Introduction -- 9.2 Video Compression Basics -- 9.3 Incorporating the Bit-Stream -- 9.4 Compression Artifacts -- 9.5 Super-Resolution -- 9.6 Conclusions -- Chapter 10 Super-Resolution: Limits and Beyond -- 10.1 Introduction -- 10.2 The Reconstruction Constraints -- 10.3 Analysis of the Constraints -- 10.4 Super-Resolution by Hallucination -- 10.5 Summary -- 10.6 Discussion. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Imaging systems. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 6 | |a Imagerie (Technique) | |
| 650 | 6 | |a Traitement d'images |x Techniques numériques. | |
| 650 | 7 | |a digital imaging. |2 aat | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Imaging Systems. |2 bisacsh | |
| 650 | 7 | |a Image processing |x Digital techniques |2 fast | |
| 650 | 7 | |a Imaging systems |2 fast | |
| 700 | 1 | |a Chaudhuri, Subhasis. | |
| 758 | |i has work: |a Super-resolution imaging (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGTFQXhtHx3kjvkTH96CpK |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Super-resolution imaging. |d Boston : Kluwer Academic Publishers, ©2001 |w (DLC) 2001038229 |
| 830 | 0 | |a Kluwer international series in engineering and computer science ; |v SECS 632. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3035533 |z Texto completo |
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