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Computational Optical Sensing and Imaging (2012)

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  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM2B.1
  • OSA Technical Digest (online)
  • Brady, David J
  • We consider first order lens design for microcamera-based focus in multiscale cameras, we compare focal and spectral tomography and we compare dynamic focal scanning ...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM2B.2
  • OSA Technical Digest (online)
  • Shroff, Sapna; Berkner, Kathrin
  • Plenoptic imaging systems with a microlens array imaging the pupil at the sensor typically produce low resolution images. We introduce an inverse problem solver using the system...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM2B.3
  • OSA Technical Digest (online)
  • Yuan, Shuai; Preza, Chrysanthe
  • Performance investigation of improved extended depth-of-field microscopy achieved with point-spread function engineering to reduce image artifacts due to depth-induced aberrations and...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM2B.4
  • OSA Technical Digest (online)
  • Nakamura, Tomoya; Horisaki, Ryoichi; Tanida, Jun
  • An aberration compensation method with computational superposition imaging is demonstrated. In this method, aberrated images are superposed to equalize the point spread function...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM2B.5
  • OSA Technical Digest (online)
  • Brent, Joshua I; Barnum, Matt; Corrales, Saul; Ding, Nan; Green, Kate; Wolfe, Lena
  • Many aerospace sensor platforms have a fixed opto-mechanical layout due to harsh environmental conditions. This design decision results in tight opto-mechanical tolerances. An...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.1
  • OSA Technical Digest (online)
  • Ojeda-Castaneda, Jorge
  • We present a method that uses tunable complex amplitude masks, for acquiring and pre-processing pictures, which are suitably post-processed and average into a final image. We visualize...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.2
  • OSA Technical Digest (online)
  • Grover, Ginni; DeLuca, Keith; Quirin, Sean; DeLuca, Jennifer; Piestun, Rafael
  • The application specific design of double-helix point spread functions enables control of parameters such as the efficiency and depth of field. We demonstrate a design and...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.3
  • OSA Technical Digest (online)
  • Trouvé, Pauline; Champagnat, Frédéric; Le Besnerais, Guy; Druart, Guillaume; Idier, Jérôme
  • We present a new computational imaging system which combines a chromatic lens and a dedicated processing in order to extract depth. A theoretical performance model of this system is...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.4
  • OSA Technical Digest (online)
  • Lapenna, Jacob; Fleischer, Jason W
  • Stochastic optical reconstruction microscopy (STORM) relies on time resolving overlapping point-spread functions (PSFs) to increase image resolution. Here, we extend STORM from...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.5
  • OSA Technical Digest (online)
  • Feldkhun, Daniel; Wagner, Kelvin H
  • A DEEP microscope synthesizes images from dynamic structured-illumination Fourier measurements using a single-element detector, enabling high-resolution imaging with aberrated optics....

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.6
  • OSA Technical Digest (online)
  • Pegard, Nicolas C; Fleischer, Jason W
  • We present a 3D microfluidic microscope. Focal stacks are recorded by observing samples flowing through a tilted microfluidic channel and then digitally deconvolved. Experimental...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM3B.7
  • OSA Technical Digest (online)
  • Lu, Chien-Hung; Pegard, Nicolas C; Fleischer, Jason W
  • We apply the principle of structured illumination to microfluidic microscopy. Sample flow across the illumination pattern automatically gives the necessary phase shifts. We...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM4B.1
  • OSA Technical Digest (online)
  • van Dijk, Thomas; Bhargava, Rohit; Carney, P Scott
  • In infrared microscopy, the structure and the chemistry of a sample are commingled, distorting the recorded spectra and confounding chemical identification. We provide a physics-based...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM4B.2
  • OSA Technical Digest (online)
  • Petre, Peter
  • Low cost, low power hyperspectral imaging sensors and real-time, low power processing of hyperspectral data are needed for mobile platforms for agricultural, mineralogical,...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM4B.3
  • OSA Technical Digest (online)
  • Kaylor, Brant M; Ashok, Amit; Seger, Eric M; Keith, Charlie J; Reibel, Randy R
  • A dynamically programmable computational imaging system has been demonstrated. The system operates in the visible and near infrared bands. Principal components and random binary...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM4B.4
  • OSA Technical Digest (online)
  • Dunlop, Matthew; Jansen, Peter; Golish, Dathon R; Gehm, Michael E
  • We have developed an architecture for spectral classification in spectral imaging. Adaptive kernels are designed using probabilistically-weighted principal component analysis....

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM4B.5
  • OSA Technical Digest (online)
  • Arguello, Henry; Arce, Gonzalo
  • A new CASSI formulation is presented which allows the design of spectrally selective measurements. Given a desired spectral sensing profile, the model permits the calculation of the...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CM4B.6
  • OSA Technical Digest (online)
  • Ramirez, Ana; Arce, Gonzalo; Sadler, Brian
  • A classification method of compressed hyperspectral images acquired by using a Coded Aperture Snapshot Spectral Imaging (CASSI) system is proposed. A sparse vector that represents the...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CTu1B.1
  • OSA Technical Digest (online)
  • Jorgensen, Anders; Mozurkewich, David; Schmitt, Henrique R; Armstrong, J T; Hindsley, Robert B; Baines, Ellyn K; Restaino, Sergio R
  • We present design and preliminary performance analysis of an optical interferometer which is capable of imaging geostationary satellites. It consists of a large number of simple...

  • Computational Optical Sensing and Imaging (COSI) 2012 paper: CTu1B.2
  • OSA Technical Digest (online)
  • Buscher, David
  • I describe the state-of-the-art in interferometric imaging in visible and near-infrared astronomy and how the lessons learned from this field can be applied to imaging of structure in...
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