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Proceedings Paper

A method for factorization by means of digital optical computing and image compression
Author(s): Kouichi Nitta; Yasunori Tado; Osamu Matoba; Takeaki Yoshimura
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Paper Abstract

A method to reduce computational costs of a factorization algorithm based on two dimensional pattern processing is presented. We develop logical operations to implement a factorization in the data compressed domain. In the method, firstly, two dimensional discrete images for data processing is compressed in accordance with the presented coding. Secondly, sequences of logical operations are executed in compression domain. Finally, desired results are obtained by extraction of the compressed data after the operations. An advantaged feature of the presented method is that computational costs can be decreased by the data compression rate.

Paper Details

Date Published: 20 September 2007
PDF: 8 pages
Proc. SPIE 6695, Optics and Photonics for Information Processing, 66950B (20 September 2007); doi: 10.1117/12.735252
Show Author Affiliations
Kouichi Nitta, Kobe Univ. (Japan)
Yasunori Tado, Kobe Univ. (Japan)
Osamu Matoba, Kobe Univ. (Japan)
Takeaki Yoshimura, Kobe Univ. (Japan)

Published in SPIE Proceedings Vol. 6695:
Optics and Photonics for Information Processing
Abdul A.S. Awwal; Khan M. Iftekharuddin; Bahram Javidi, Editor(s)

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