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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Zalevsky, Zeev (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:SpringerBriefs in Physics,
Temas:
Lasers.
Signal processing.
Image processing-Digital techniques.
Computer vision.
Laser.
Signal, Speech and Image Processing .
Computer Imaging, Vision, Pattern Recognition and Graphics.
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2011. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2011. 
300 |a XVI, 116 p. 65 illus., 21 illus. in color.  |b online resource. 
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505 0 |a 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. 
520 |a 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 random transmission structures to encode the image or the aperture planes. The desired resolution enhanced images are obtained by post-processing decoding of the captured data. 
650 0 |a Lasers. 
650 0 |a Signal processing. 
650 0 |a Image processing-Digital techniques. 
650 0 |a Computer vision. 
650 1 4 |a Laser. 
650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
700 1 |a Zalevsky, Zeev.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461408321 
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830 0 |a SpringerBriefs in Physics,  |x 2191-5431 
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950 |a Physics and Astronomy (SpringerNature-11651) 
950 |a Physics and Astronomy (R0) (SpringerNature-43715) 

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