Super-Resolved Imaging : Geometrical and Diffraction Approaches

Super-Resolved Imaging : Geometrical and Diffraction Approaches

In this brief we review several approaches that provide super resolved imaging, overcoming the geometrical limitation of the detector as well as the diffraction effects set by the F number of the imaging lens. In order to obtain the super resolved enhancement, we use spatially non-uniform and/or ran...

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Détails bibliographiques
Auteur principal: Zalevsky, Zeev (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: New York, NY : Springer New York 2011.
Cham : Springer Nature
Collection:SpringerBriefs in Physics
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Super-Resolved Imaging, Texte imprimé, 9781461408345
• Super-resolved imaging, geometrical and diffraction approaches, Zeev Zalevsky, editor, New York, Springer, 2011, 1 vol. (IX-105 p.), SpringerBrief in physics, 1-461-40832-6
Table des matières:
  • Preface
  • Contents
  • Chapter One
  • 1.1 Fourier Optics
  • 1.1.1 Free Space propagation: Fresnel & Fraunhofer integrals
  • 1.1.2 Imaging system
  • 1.2: Diffraction Resolution limitation
  • 1.3: Geometrical Resolution limitation
  • The effects of sampling by CCD (pixel shape & aliasing)
  • 1.4 Super-resolution explained by Degrees of freedom number
  • 1.5 Inverse problem statement of super-resolution
  • References
  • Chapter 2
  • 2.1 Single snap-shot double field optical zoom
  • 2.1.1 Introduction
  • 2.1.2 Theory
  • 2.1.3. Simulation Investigation
  • 2.2 Full Field of View Super-resolution Imaging based on Two Static Gratings and White Light Illumination
  • 2.2.1 Introduction
  • 2.2.2 Mathematical Analysis
  • 2.2.3 Experimental Results
  • 2.3 Super-resolution using gray level coding
  • 2.3.1 Introduction
  • 2.3.2 Theory
  • 2.3.3 Experiment
  • References
  • Chapter 3
  • 3.1 Geometrical Super Resolution Using Code Division Multiplexing
  • 3.1.1 Introduction
  • 3.1.2 Theoretical Analysis
  • 3.1.3 Computer Simulations
  • 3.1.4 Experimental Results
  • 3.2 Diffraction Super Resolution Using Code Division Multiplexing
  • 3.2.1 Introduction
  • 3.2.2 Theoretical Analysis
  • 3.2.3 Computer Simulations
  • 3.2.4 Experimental Results
  • References
  • Chapter 4
  • 4.1 Geometrical Super Resolved Imaging Using Non periodic Spatial Masking
  • 4.1.1 Introduction
  • 4.1.2 Theoretical Analysis
  • 4.1.3 Experimental investigation
  • 4.2 Random angular coding for super-resolved imaging
  • 4.2.1 Introduction
  • 4.2.2 Mathematical Derivation
  • 4.2.3. Numerical Simulation of the System
  • 4.2.4. Experimental results
  • References.

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