Two-dimensional normalized sampled finite Sinc reconstructor

Carlos Augusto Paiva da Silva Martins; Joao Antonio Zuffo; Sergio Takeo Kofuji

doi:10.1117/12.280628

22 July 1997 Two-dimensional normalized sampled finite Sinc reconstructor

Carlos Augusto Paiva da Silva Martins, Joao Antonio Zuffo, Sergio Takeo Kofuji

Author Affiliations +

Proceedings Volume 3074, Visual Information Processing VI; (1997) https://doi.org/10.1117/12.280628
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

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Carlos Augusto Paiva da Silva Martins, Carlos Augusto Paiva da Silva Martins, Joao Antonio Zuffo, Joao Antonio Zuffo, Sergio Takeo Kofuji, Sergio Takeo Kofuji, "Two-dimensional normalized sampled finite Sinc reconstructor", Proc. SPIE 3074, Visual Information Processing VI, (22 July 1997); doi: 10.1117/12.280628; https://doi.org/10.1117/12.280628

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