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Proceedings Paper

Two-dimensional normalized sampled finite Sinc reconstructor
Author(s): Carlos Augusto Paiva da Silva Martins; Joao Antonio Zuffo; Sergio Takeo Kofuji
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Paper Abstract

This paper analyzes an image reconstruction technique, called 2D normalized sampled finite sinc reconstructor (NSFSR 2D), different from the currently used image reconstruction technique modeled as a 2D zero order reconstructor (ZOR 2D). The main goal of this work is to eliminate or drastically reduce the jagged effect caused by the reconstruction error. The proposed reconstructor has a behavior closer to the ideal reconstructor used in the original sampling theorem. Some tests were done in space and frequency domains comparing this reconstructor to the currently used. We conclude that NSFSR 2D is much better than the ZOR 2D. ALthough some improvements should be done, the results so far are expressive and promising.

Paper Details

Date Published: 22 July 1997
PDF: 11 pages
Proc. SPIE 3074, Visual Information Processing VI, (22 July 1997); doi: 10.1117/12.280628
Show Author Affiliations
Carlos Augusto Paiva da Silva Martins, Univ. de Sao Paolo and Pontificia Univ. Catolica de Minas Gerais (Brazil)
Joao Antonio Zuffo, Univ. de Sao Paolo (Brazil)
Sergio Takeo Kofuji, Univ. de Sao Paolo (Brazil)

Published in SPIE Proceedings Vol. 3074:
Visual Information Processing VI
Stephen K. Park; Richard D. Juday, Editor(s)

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