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Applied Optics

Applied Optics



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Applied Optics Feature Announcement

Computational Optical Sensing and Imaging

Submission Deadline: 1 November 2012

Imaging systems are used ubiquitously in all fields of science and aspects of society including industry, medicine, defense, commerce, art, and personal recreation. There is a constant drive for smaller, lower cost, more capable systems and constant interest in new highly specialized applications with unique requirements. This compels novel methods that utilize a high level of synergy between the optical measurement hardware design and signal processing. Major themes include:

  • Measuring projections or transforms of the spatial image to avoid conventional limitations, such as in synthetic aperture imaging that avoids the resolution limit associated with the size of the physical receiver aperture and holography and correlography methods that discard with a lens system altogether
  • Use of a priori knowledge of signal properties to achieve high-fidelity signal recovery with sparse measurement, such as in compressed sensing
  • Efficient methods of obtaining higher-dimensional properties of light for example 3D and light-field sensing
  • Recovering the desired signal when its relationship to the measurement is complex
  • Compensation of degradations to the signal such as motion blur, wavefront errors, and coarse detector response often by using multiple or auxillary image measurements such as in phase diversity and digital super-resolution

In all cases, data processing is an inherent element of the system required to reconstruct the image or embedded signal in a form and dimensionality that best conveys the information of interest to an observer. High rates of advancement in both computational processing power and sensor and laser technology are combining to propel rapid development of technologies that synergistically unite sensing and processing. The papers in this issue highlight recent theoretical and experimental advances within the field of computational sensing and imaging.

At the 2012 OSA Computational Sensing and Imaging (COSI) Topical Meeting in Monterey, California, scientists and engineers from the academic, commercial, and military areas came together to share advances in this subject. This special issue provides participants of the OSA COSI meeting with the opportunity to publish an account of their work as a peer-reviewed archival paper in the Information Processing division of Applied Optics. While conference paper authors are particularly encouraged to submit their work, the special issue is open to all contributions in this area.

Papers for the feature issue will fall within the following set of topics:

  • Light-field sensing
  • Compressive sensing
  • Tomographic imaging
  • Structured illumination
  • Digital holography
  • Synthetic aperture imaging
  • Interferometric 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 imaging and spectral unmixing
  • Signal detection and estimation
  • Stable inversion of ill-posed problems
  • Development of image quality metrics and analysis techniques

Manuscripts must be prepared according to the usual standards for submission to Applied Optics; Please see the Information for Contributors in any printed issue or the OSA Style Guide for further information. Manuscripts must also be uploaded through OSA's electronic submission system. All manuscripts must be submitted to the Information Processing Division. Please specify that the manuscript is for the Computational Optical Sensing and Imaging feature (choose from the feature issue drop-down menu).

Feature Issue Editors
Michael Gehm
University of Arizona
David Gerwe
The Boeing Company
Andrew Harvey
University of Glasgow
United Kingdom

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