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Zalevsky, Zeev.
Super-Resolved Imaging Geometrical and Diffraction Approaches / [electronic resource] : edited by Zeev Zalevsky. - 1. - XVI, 116p. 65 illus., 21 illus. in color. online resource. - SpringerBriefs in Physics .
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.
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.
9781461408338
Physics.
Computer vision.
Physics.
Optics, Optoelectronics, Plasmonics and Optical Devices.
Signal, Image and Speech Processing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
QC350-467 TA1501-1820 QC392-449.5 TA1750-1750.22
621.36
Super-Resolved Imaging Geometrical and Diffraction Approaches / [electronic resource] : edited by Zeev Zalevsky. - 1. - XVI, 116p. 65 illus., 21 illus. in color. online resource. - SpringerBriefs in Physics .
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.
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.
9781461408338
Physics.
Computer vision.
Physics.
Optics, Optoelectronics, Plasmonics and Optical Devices.
Signal, Image and Speech Processing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
QC350-467 TA1501-1820 QC392-449.5 TA1750-1750.22
621.36