Deconvolution of multiple images of the same object

Leonid P. Yaroslavsky, H. John Caulfield

Research output: Contribution to journalConference articlepeer-review


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 languageEnglish
Pages (from-to)100-107
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 9 Jul 1992
Externally publishedYes
EventSignal Processing, Sensor Fusion, and Target Recognition 1992 - Orlando, United States
Duration: 20 Apr 1992 → …


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