Optical compressive imaging - download pdf or read online

By Adrian Stern

ISBN-10: 1315371472

ISBN-13: 9781315371474

ISBN-10: 1498708064

ISBN-13: 9781498708067

ISBN-10: 1498708072

ISBN-13: 9781498708074

This devoted evaluation of optical compressive imaging addresses implementation features of the innovative idea of compressive sensing (CS) within the box of optical imaging and sensing. It overviews the technological possibilities and demanding situations excited by optical layout and implementation, from uncomplicated conception to optical architectures and platforms for compressive imaging in a number of spectral regimes, spectral and hyperspectral imaging, polarimetric sensing, 3-dimensional imaging, super-resolution imaging, lens-free, on-chip microscopy, and part sensing and retrieval. The reader will achieve an entire advent to conception, scan, and sensible use for lowering undefined, shortening picture scanning time, and enhancing photograph answer in addition to different functionality parameters. Optics practitioners and optical process designers, electric and optical engineers, mathematicians, and sign processing execs will all locate the e-book a special trove of data and functional guidance.

  • Delivers the 1st publication on compressed sensing facing procedure improvement for a large choice of optical imaging and sensing applications.
  • Covers the basics of CS concept, together with noise and algorithms, in addition to easy layout methods for facts acquisition in optics.
  • Addresses the demanding situations of imposing compressed sensing concept within the context of other optical imaging designs, from 3D imaging to tomography and microscopy.
  • Provides a vital source for the layout of latest and more desirable units with superior photo caliber and shorter acquisition times.

Adrian Stern, PhD, is affiliate professor and head of the Electro-Optical Engineering Unit at Ben-Gurion collage of the Negev, Israel. he's an elected Fellow of SPIE.

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19 20 21 22 23 23 27 Introduction Readers with classical optics education may not find the compressive sensing (CS) notions introduced in Chapter 1 so natural or corresponding well with the familiar optical science and engineering lexicon. This is partly because CS theory was born and has evolved mainly in fields such as information theory, computational mathematics, and signal processing, and, therefore, its formalism, notions, and concepts do not necessarily overlap those found in typical optics textbooks.

How Appropriate Is a Sensing Matrix for CS? . . . . . . . . . . . . Restricted Isometry Property. . . . . . . . . . . . . . . . . . . Coherence . . . . . . . . . . . . . . . . . . . . . . . . . . Two-Point Imaging Resolution Revisited Using CS Tools . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 20 21 22 23 23 27 Introduction Readers with classical optics education may not find the compressive sensing (CS) notions introduced in Chapter 1 so natural or corresponding well with the familiar optical science and engineering lexicon.

Two-Point Imaging Resolution Revisited Using CS Tools . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 20 21 22 23 23 27 Introduction Readers with classical optics education may not find the compressive sensing (CS) notions introduced in Chapter 1 so natural or corresponding well with the familiar optical science and engineering lexicon. This is partly because CS theory was born and has evolved mainly in fields such as information theory, computational mathematics, and signal processing, and, therefore, its formalism, notions, and concepts do not necessarily overlap those found in typical optics textbooks.

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Optical compressive imaging by Adrian Stern


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