SW adaptation: fundamentals and examples

David Mendlovic; Adolf W. Lohmann; Zeev Zalevsky

doi:10.1117/12.326804

13 October 1998 SW adaptation: fundamentals and examples

David Mendlovic, Adolf W. Lohmann, Zeev Zalevsky

Proceedings Volume 3467, Far- and Near-Field Optics: Physics and Information Processing; (1998) https://doi.org/10.1117/12.326804
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

Super resolution has been an active field during the last fifty years. Previous works have shown that the super resolution effect is an SW adaptation process which adapts the SW acceptance chart of the signal to the one of the system. This new point of view is based on handling the Wigner chart of the input signal as well as the Wigner chart of the signal which can be accepted by the system, by taking into account the number of degrees of freedom of the signal and the system and then studying the distribution of the degrees of freedom in the Wigner chart. In this paper we draw the distinction between geometrical super resolution and diffraction limited resolution. In addition we introduce the term system's and signal's geometrical SW and show that the SW adaptation approach previously demonstrated is valuable only to binary sensing devices. In practical cases, the dynamic range of the detector is also a factor that determines the number of degrees of freedom and thus it should also be taken into account in the adaptation process. As a result, for 1D objects instead of adapting 2D chart as was done in previous SW adaptation process. Several examples demonstrate the SW adaptation process for obtaining the desired super resolution effect.

Citation Download Citation

David Mendlovic, Adolf W. Lohmann, and Zeev Zalevsky "SW adaptation: fundamentals and examples", Proc. SPIE 3467, Far- and Near-Field Optics: Physics and Information Processing, (13 October 1998); https://doi.org/10.1117/12.326804

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KEYWORDS

Super resolution

Sensors

Signal processing

Binary data

Diffraction

Multiplexing

Detection theory

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