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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 30 — Oct. 20, 2010
  • pp: 5713–5720

Image data compression based on non-negative incoherent imaging systems

Hamootal Duadi, Adolf W. Lohmann, and Zeev Zalevsky  »View Author Affiliations

Applied Optics, Vol. 49, Issue 30, pp. 5713-5720 (2010)

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Channel and memory capacities are limited and expensive resources in optical communication. In this work we propose several approaches to reduce the required capacity by using the a priori knowledge about the optical system used to capture the spatial information. The a priori knowledge is related to the triangularlike shape of the optical transfer function and to its spectral symmetry. In our work we will demonstrate a reduction in memory capacity required for the same image quality or a resolution enhancement for the same physical memory capacity. We will also present a nearly all-optical implementation of these techniques.

© 2010 Optical Society of America

OCIS Codes
(100.2980) Image processing : Image enhancement
(110.4850) Imaging systems : Optical transfer functions

ToC Category:
Imaging Systems

Original Manuscript: January 25, 2010
Revised Manuscript: July 25, 2010
Manuscript Accepted: September 15, 2010
Published: October 12, 2010

Hamootal Duadi, Adolf W. Lohmann, and Zeev Zalevsky, "Image data compression based on non-negative incoherent imaging systems," Appl. Opt. 49, 5713-5720 (2010)

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