Comparison of Several Numerical Algorithms for Image Reconstruction from Irregular Samples

David G. Long; David E. Early

doi:10.1364/SRS.2001.SWC3

Signal Recovery and Synthesis
2001 OSA Technical Digest Series (Optica Publishing Group, 2001),
paper SWC3
•https://doi.org/10.1364/SRS.2001.SWC3

Comparison of Several Numerical Algorithms for Image Reconstruction from Irregular Samples

David G. Long and David E. Early

Signal Recovery and Synthesis 2001

Albuquerque, New Mexico United States
ISBN: 1-55752-690-7

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Sampling and Regularization (SWC)

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D. G. Long and D. E. Early, "Comparison of Several Numerical Algorithms for Image Reconstruction from Irregular Samples," in Signal Recovery and Synthesis, 2001 OSA Technical Digest Series (Optica Publishing Group, 2001), paper SWC3.

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Abstract

Monte Carlo simulation is used to compare additive and multiplicative algebraic reconstruction technique (ART), and the Scatterometer Image Reconstruction (SIR) algorithms to reconstruct images from noisy irregular samples. SIR is the most robust in the presence of noise.

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