Super-resolution imaging /

Annotation

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chaudhuri, Subhasis
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Kluwer Academic Publishers, ©2001.
Colección:Kluwer international series in engineering and computer science ; SECS 632.
Temas:
Imaging systems.
Image processing > Digital techniques.
Imagerie (Technique)
Traitement d'images > Techniques numériques.
digital imaging.
TECHNOLOGY & ENGINEERING > Imaging Systems.
Image processing > Digital techniques
Imaging systems
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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