Deconvolution of multiple images of the same object

Leonid P. Yaroslavsky; H. John Caulfield

doi:10.1117/12.138214

Deconvolution of multiple images of the same object

Leonid P. Yaroslavsky, H. John Caulfield

Research output: Contribution to journal › Conference article › peer-review

Abstract

The Wiener filter is the optimum linear deconvolution filter for a single image. As the results of Wiener filtering are not always satisfactory, we changed the problem to that of estimating the object from two or more images made with different point spread functions, Very simple formulae result which have the intuitively required properties. Computer experiments show that distinct improvements can be made in this way.

Original language	English
Pages (from-to)	100-107
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1699
DOIs	https://doi.org/10.1117/12.138214
State	Published - 9 Jul 1992
Externally published	Yes
Event	Signal Processing, Sensor Fusion, and Target Recognition 1992 - Orlando, United States Duration: 20 Apr 1992 → …

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10.1117/12.138214

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Deconvolution of multiple images of the same object

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