Optical Compressive Imaging

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advanced optical sensing architectures
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B01=Adrian Stern
Category1=Non-Fiction
Category=PBW
Category=PHJ
Coherence Parameter
Compressive Decoding
compressive imaging
compressive sensing
COP=United States
Delivery_Delivery within 10-20 working days
DMD
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eq_non-fiction
eq_science
Fiber Optic Faceplate
Fresnel Transform
hyperspectral data analysis
Joint Sparsity
Language_English
lens-free optical systems
MMSE Linear Estimation
Mueller Matrix
multi-channel acquisition
Nonlinear Reconstruction
optical imaging
optical sensing
PA=Available
Phase Retrieval
phase tomography techniques
polarimetric imaging
Price_€100 and above
PS=Active
RM SE
RMSE Performance
Sensing Matrix
Single Pixel Detector
softlaunch
sparcity
Sparse Signals
Spectral Encoding
Spectral Reflectance Measurements
Stokes Parameters
super-resolution microscopy
Terahertz Beam
Terahertz Data
Terahertz Pulse
Terahertz Radiation
THz Image

Product details

  • ISBN 9781498708067
  • Weight: 952g
  • Dimensions: 178 x 254mm
  • Publication Date: 26 Oct 2016
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing (CS) in the field of optical imaging and sensing. It overviews the technological opportunities and challenges involved in optical design and implementation, from basic theory to optical architectures and systems for compressive imaging in various spectral regimes, spectral and hyperspectral imaging, polarimetric sensing, three-dimensional imaging, super-resolution imaging, lens-free, on-chip microscopy, and phase sensing and retrieval. The reader will gain a complete introduction to theory, experiment, and practical use for reducing hardware, shortening image scanning time, and improving image resolution as well as other performance parameters. Optics practitioners and optical system designers, electrical and optical engineers, mathematicians, and signal processing professionals will all find the book a unique trove of information and practical guidance.

Adrian Stern