Applied Optics Feature Issue Announcement

Submission Opens: 1 November 2014

Submission Deadline: 4 December 2014

OSA is soliciting original papers for an Applied Optics feature issue on Imaging Systems and Signal Recovery. This special issue provides participants from both OSA Imaging Systems and Applications (IS) and Signal Recovery and Synthesis (SRS) Topical meetings held in Seattle, Washington during 13-17 July 2014, the opportunity to publish an account of their work as a peer-reviewed archival paper in the Information Processing division of Applied Optics. While meeting participants are particularly encouraged to submit their work, this special issue is open to all contributions that adhere to the areas listed below. All papers need to present original, previously unpublished work, and will be subject to the normal criteria and peer-review process of the journal.

Imaging systems and signal recovery algorithms have numerous applications in industrial, military, consumer, entertainment, and medical settings. The relevant topics involve both basic science as well as applied multidisciplinary engineering capabilities. This special issue is aimed at scientists, engineers, and practitioners interested in understanding how different materials, components, and image/signal processing algorithms combine to determine and influence image system performance. Its intent is to bring together the components as well as the relevant processing algorithms that define the imaging system and identify the research advances in the areas of use. Topics of interest include but are not limited to the following areas:

  • Applications of military, industrial, medical and consumer imaging: Military imaging in all optical bands, target acquisition, persistent surveillance; Imaging systems in security, entertainment and machine vision; Digital photography; Microscopy (e.g. opto-fluidic lenses, lens-less systems); Imaging for robotics and process control imaging; Computational, adaptive, and compressive imaging; Systems and applications for hyper-spectral imaging, polarimetric (thermal) imaging; Human interaction with imaging systems and display; Digital cinematography; Artificial eyes and imaging; Vision and the optics of the eye; Color encoding and decoding; Color Vision.
  • Imaging systems and components: Lens systems; Optical system and lens design; Visible solid-state image sensors; infrared focal plane arrays; Read-out and communications electronics; Novel display systems for multi-views and depth acquisition; Illumination systems; Advanced projection systems.
  • Digital image processing: Scene segmentation; Image enhancement; Pattern/target recognition; Image analysis for product inspection, target tracking, motion estimation; Compression for storage or transmission; Optimization of data for display; Processing of hyper- and multi-spectral data and multi-modal data; Image quality measures and criteria; Pattern/target recognition; Microscopic image processing; Holographic image processing; Medical image processing; 3D reconstruction; Image-based forensics; Computer vision; Information extraction in tomographic, volumetric, time resolved, and super-resolved imagery; Applications to visual and industrial applications such as manufactured product inspection.
  • Computational imaging and signal recovery: Coded aperture imaging; High dynamic range, depth of field imaging; Super-resolution; Tomographic and 3D imaging; Phase retrieval; Hyper-spectral imaging architectures; Coherence measurement and synthesis; Unique uses of plenoptic cameras in consumer products; Phase retrieval; Synthetic aperture radar; Imaging through turbulence and scattering media; Blind deconvolution; Blind spectral unmixing; Compressed sensing.
  • Emerging technologies with impact on imaging systems: Curved focal plane arrays; Nano-photonic components; Plasmonic devices; Graded-index components based on meta-materials

Manuscripts must be prepared according to the usual standards for submission to Applied Optics; see the Information for Contributors in any printed issue or the OSA Style Guide: style guide. Manuscripts must also be uploaded through OSA's electronic submission system: /ao/journal/ao/author.cfm. All manuscripts must be submitted to the Information Processing Division. Please specify that the manuscript is for the Imaging Systems and Applications feature (choose from the feature issue drop-down menu).

Feature Issue Editors

Gisele Bennett, Georgia Institute of Technology, USA
Christy Fernandez-Cull, MIT Lincoln Laboratory, USA
David Gerwe, Boeing—Phantomworks, USA
Michael Kriss, MAK Consultants, USA
Edmund Lam, The University of Hong Kong, Hong Kong
Zeev Zalevsky, Bar-Ilan University, Israel