Document Type

Article

Publication Date

1-1-2004

Abstract

This paper, written for interdisciplinary audience, presents computational image reconstruction implementable by quantum optics. The input-triggered selection of a high-resolution image among many stored ones, and its reconstruction if the input is occluded or noisy, has been successfully simulated. The original algorithm, based on the Hopfield associative neural net, was transformed in order to enable its quantum-wave implementation based on holography. The main limitations of the classical Hopfield net are much reduced with the simulated new quantum-optical implementation.

Keywords

Computer science, artificial intelligence, high resolution image, quantum aptics

Publication Title

Applied Optics

ISSN

1539-4522

Divisions

ai

Volume

43

Issue

33

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