1 April 2001 Statistical interpolation of sampled images
Valerie Leung, Philip J. Bones, Richard G. Lane
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The problem of interpolating a sampled signal is well known in signal processing. We describe a Bayesian interpolator that models the sampling process and the autocovariances of both the signal and the noise in its design. We show that the technique is an adaptation of the kriging process used in geostatistics, and how it can be applied to interpolating aliased sampled signals.
©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Valerie Leung, Philip J. Bones, and Richard G. Lane "Statistical interpolation of sampled images," Optical Engineering 40(4), (1 April 2001). https://doi.org/10.1117/1.1353799
Published: 1 April 2001
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Cited by 45 scholarly publications.
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KEYWORDS
Data modeling

Signal processing

Image processing

Quantization

Bone

Process modeling

Charge-coupled devices

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