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
Divisions
ai
Publication Title
Applied Optics
Volume
43
Issue
33
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