1 December 1999 Fourier-based optimal recovery method for anti-aliasing interpolation
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We propose a Fourier-based interpolation method designed to suppress the oscillatory artifacts that occur when interpolating an undersampled function. In the proposed method, we formulate the problem as an optimal recovery problem incorporating a priori knowledge of the aliasing. Our computer simulations demonstrate that the proposed method can produce good interpolation results even when the functions are severely undersampled.
Chien-Min Kao, Xiaochuan Pan, Patrick J. La Riviere, and Mark A. Anastasio "Fourier-based optimal recovery method for anti-aliasing interpolation," Optical Engineering 38(12), (1 December 1999). https://doi.org/10.1117/1.602308
Published: 1 December 1999
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Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Algorithm development

Fourier transforms

Image restoration

Linear filtering

Signal processing

Filtering (signal processing)

Image processing

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