Incoherent optical spatial image processing

Melania Paturzo; Pietro Ferraro; Alexander Zlotnik; Zeev Zalevsky

doi:10.1007/978-3-642-10442-8_11

Incoherent optical spatial image processing

Melania Paturzo, Pietro Ferraro, Alexander Zlotnik, Zeev Zalevsky

National Research Council of Italy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we present a new configuration for real-time spatial image processor that is based upon an imaging setup in which a grating with Fourier coefficients with tunable phase is attached to the object plane. The illumination that is used for the proposed concept is spatially incoherent. By proper adjusting of the magnification of the imaging system to the spatial period of the grating and the sampling grid of the camera, the aliasing effect due to the digital sampling realizes a non uniform and tunable spectral distribution (a filter) that is applied over the spectrum of the object.

Original language	English
Title of host publication	Optical SuperComputing - Second International Workshop, OSC 2009, Proceedings
Pages	86-94
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-10442-8_11
State	Published - 2009
Event	2nd International Workshop on Optical SuperComputing, OSC 2009 - Bertinoro, Italy Duration: 18 Nov 2009 → 20 Nov 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5882 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Optical SuperComputing, OSC 2009
Country/Territory	Italy
City	Bertinoro
Period	18/11/09 → 20/11/09

Keywords

Optical signal processing subsystems

Access to Document

10.1007/978-3-642-10442-8_11

Cite this

Paturzo, M., Ferraro, P., Zlotnik, A., & Zalevsky, Z. (2009). Incoherent optical spatial image processing. In Optical SuperComputing - Second International Workshop, OSC 2009, Proceedings (pp. 86-94). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5882 LNCS). https://doi.org/10.1007/978-3-642-10442-8_11

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title = "Incoherent optical spatial image processing",

abstract = "In this paper we present a new configuration for real-time spatial image processor that is based upon an imaging setup in which a grating with Fourier coefficients with tunable phase is attached to the object plane. The illumination that is used for the proposed concept is spatially incoherent. By proper adjusting of the magnification of the imaging system to the spatial period of the grating and the sampling grid of the camera, the aliasing effect due to the digital sampling realizes a non uniform and tunable spectral distribution (a filter) that is applied over the spectrum of the object.",

keywords = "Optical signal processing subsystems",

author = "Melania Paturzo and Pietro Ferraro and Alexander Zlotnik and Zeev Zalevsky",

year = "2009",

doi = "10.1007/978-3-642-10442-8_11",

language = "אנגלית",

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Paturzo, M, Ferraro, P, Zlotnik, A & Zalevsky, Z 2009, Incoherent optical spatial image processing. in Optical SuperComputing - Second International Workshop, OSC 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5882 LNCS, pp. 86-94, 2nd International Workshop on Optical SuperComputing, OSC 2009, Bertinoro, Italy, 18/11/09. https://doi.org/10.1007/978-3-642-10442-8_11

Incoherent optical spatial image processing. / Paturzo, Melania; Ferraro, Pietro; Zlotnik, Alexander et al.
Optical SuperComputing - Second International Workshop, OSC 2009, Proceedings. 2009. p. 86-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5882 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Incoherent optical spatial image processing

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