Scope and Topic Categories

Scope and Topic Categories

The Computational Optical Sensing and Imaging (COSI) meeting consists of topics that range from theoretical to experimental demonstration and verification of the latest advances in computation imaging research. This meeting covers subject matter in fundamental physics, numerical methods and physical hardware that has led to significant improvements in the fields of imaging and sensing for medical, defense, homeland security, inspection, testing applications. Topics in this meeting include research in wave-front coding, light field sensing, compressive optical sensing, tomographic imaging, structured illumination imaging, digital holography, SAR, lens-less imaging, ghost imaging, blind deconvolution, point spread function engineering, digital/optical super-resolution, unusual form-factor cameras, synthetic aperture optical systems, stable inversion of ill-posed problems , development of Image quality analysis/metrics, complexities and uncertainties in image/signal formation, regularization concepts (for example: Total Variation, Bayesian, sparsity) to mention a few representative areas.

Computational Optical Sensing and Imaging is an important discipline being applied to solve numerous problems in modern optics and the techniques developed in this field have already been incorporated in to numerous commercial products.

COSI places particular emphasis on integrated analysis of physical layer measurement and digital layer processing. In contrast with the conventional model of a “digital image” as simply a discretely sampled version of an analog image, COSI considers advanced opportunities for image data coding and decoding in optical, electronic and software layers.

Topic Categories

  • Wavefront coding
  • Light-field sensing
  • Compressive sensing
  • Tomographic imaging
  • Structured illumination
  • Digital holography
  • Synthetic aperture imaging
  • Interfereometric imaging measurements and reconstruction
  • Phase retrieval
  • Lensless imaging
  • Computational spectroscopy and spectral imaging
  • Ghost imaging
  • Blind deconvolution and phase diversity
  • Point- spread function engineering
  • Digital/optical super-resolution
  • Unusual form-factor cameras
  • Spectral unmixing
  • Signal detection and estimation
  • Stable inversion of ill-posed problems
  • Development of image quality metrics and analysis techniques