A fast-Fourier-transform method of topography and interferometry is proposed. By computer processing of a noncontour type of fringe pattern, automatic discrimination is achieved between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour-generation techniques. The method has advantages over moire topography and conventional fringe-contour interferometry in both accuracy and sensitivity. Unlike fringe-scanning techniques, the method is easy to apply because it uses no moving components.

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

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Principles Of Optics Electromagnetic Theory Of Propagation Interference And Diffraction Of Light

Physical Review B

This Review article provides an overview of the fundamental origins and important applications of the main spin–orbit interaction phenomena in modern optics that play a crucial role at subwavelength scales. Light carries both spin and orbital angular momentum. These dynamical properties are determined by the polarization and spatial degrees of freedom of light. Nano-optics, photonics and plasmonics tend to explore subwavelength scales and additional degrees of freedom of structured — that is, spatially inhomogeneous — optical fields. In such fields, spin and orbital properties become strongly coupled with each other. In this Review we cover the fundamental origins and important applications of the main spin–orbit interaction phenomena in optics. These include: spin-Hall effects in inhomogeneous media and at optical interfaces, spin-dependent effects in nonparaxial (focused or scattered) fields, spin-controlled shaping of light using anisotropic structured interfaces (metasurfaces) and robust spin-directional coupling via evanescent near fields. We show that spin–orbit interactions are inherent in all basic optical processes, and that they play a crucial role in modern optics.

Spin-orbit interactions of light

Imaging polarimetry has emerged over the past three decades as a powerful tool to enhance the information available in a variety of remote sensing applications. We discuss the foundations of passive imaging polarimetry, the phenomenological reasons for designing a polarimetric sensor, and the primary architectures that have been exploited for developing imaging polarimeters. Considerations on imaging polarimeters such as calibration, optimization, and error performance are also discussed. We review many important sources and examples from the scientific literature.

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Review of passive imaging polarimetry for remote sensing applications

Enhanced fluctuations of integrated scattered intensity in response to non-stationary random illumination are exploited to characterize the spatial and temporal properties of complex biological systems. To reduce radiant energy density applied to the sample, we demonstrated experimentally the effectiveness of a compressive sensing approach.

Dynamic biological systems characterization using non-stationary stochastic optical probe

We exploit the enhanced fluctuations of scattering from random potentials illuminated sequentially by non-stationary speckle fields and obscured by turbid media, to determine both the characteristic length and the motion of potential's center of mass.

Sensing thorough obscurants — using fluctuations in stochastic coherent scattering

We experimentally investigate the 2-D modal power coupling of <tex>$LG_{11}$</tex> and <tex>$HG_{11}$</tex> beams under dynamic aerosol and water curvature, and demonstrate a 1-Gbit/s <tex>$LG_{11}$</tex> FSO link, having a penalty of ∼3-dB compared with no-effect cases.

Demonstration of an Air-Water Communication Link Through Dynamic Aerosol and Water Curvature when Considering the 2-D Modal Coupling of a Spatially Structured Beam

We introduce a single-shot coherent noise suppression technique based on interferometric spectral upshifting in conjuncture with computational image recovering. The efficiency is demonstrated and quantified in regimes of low signal-to-noise ratio.

Coherent Noise Suppression using Interferometric Cross-Correlation

Stochastic sensing offers robust information about systems that vary randomly in time or space. Using polarimetric measurements and computational approaches, we show that is possible to determine anisotropies in the effective polarizability of inhomogeneous materials.

Aristide Dogariu

Papers

Dynamic biological systems characterization using non-stationary stochastic optical probe

Sensing thorough obscurants — using fluctuations in stochastic coherent scattering

Demonstration of an Air-Water Communication Link Through Dynamic Aerosol and Water Curvature when Considering the 2-D Modal Coupling of a Spatially Structured Beam

Coherent Noise Suppression using Interferometric Cross-Correlation

Computational Sensing of Anisotropic Polarizability in Multiply Scattering Media