Quantum-Implementable Selective Reconstruction of High-Resolution Images

Perus, Mitja and Bischof, Horst and Caulfield, H. John and Loo, Chu Kiong (2004) Quantum-Implementable Selective Reconstruction of High-Resolution Images. Applied Optics, 43 (33). pp. 6134-6138. ISSN 0003-6935

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Official URL: http://dx.doi.org/10.1364/AO.43.006134

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. (C) 2004 Optical Society of America.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 22 Aug 2011 02:16
Last Modified: 22 Aug 2011 02:16
URI: http://shdl.mmu.edu.my/id/eprint/2426

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