All-optical neural-net-like image processing with photosensitive nonlinear nematic film

Iam-choon Khoo, K. Chen, A. Diaz

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

The equivalence of all-optical image processing with the optical nonlinearities of nematic liquid crystal to neural-net-like processing operations was demonstrated. The photosensitivity and transparency of the film allowed integration of the sensor, processor and image display function on a single film. An example of image edge enhancement was illustrated with photosensitive supranonlinear nematic liquid-crystal films. The results show that some neural-net image-processing operations can be realized by use of the natural diffraction property of light in conjunction with the optical nonlinearities of the transparent film.

Original languageEnglish (US)
Pages (from-to)2372-2374
Number of pages3
JournalOptics Letters
Volume28
Issue number23
DOIs
StatePublished - Dec 1 2003

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All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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