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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

High-resolution image recovery from image-plane arrays, using convex projections

Stark, Henry, Oskoui, Peyma·1989·Journal of the Optical Society of America A

Abstract

We consider the problem of reconstructing remotely obtained images from image-plane detector arrays. Although the individual detectors may be larger than the blur spot of the imaging optics, high-resolution reconstructions can be obtained by scanning or rotating the image with respect to the detector. As an alternative to matrix inversion or least-squares estimation [Appl. Opt. 26, 3615 (1987)], the method of convex projections is proposed. We show that readily obtained prior knowledge can be used to obtain good-quality imagery with reduced data. The effect of noise on the reconstruction process is considered.

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Metadata

Authors
Stark, H., & Oskoui, P.
Venue
Journal of the Optical Society of America A
Published
1989-11-01
Volume
6
Issue
11
Pages
1715
ISSN
  • 1084-7529 (ISSN-L)
  • 1520-8532
OpenAlex
W2058523468
Cited by
734
References
6
FWCI
3.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High-resolution image recovery from image-plane arrays, using convex projections. https://app.cochat.ai/papers/10.1364/josaa.6.001715
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Stark, H., & Oskoui, P. (1989). High-resolution image recovery from image-plane arrays, using convex projections. Journal of the Optical Society of America A. https://doi.org/10.1364/josaa.6.001715

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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