Deconvolution of multiple images of the same object

Leonid P. Yaroslavsky; H. John Caulfield

doi:10.1117/12.138214

9 July 1992 Deconvolution of multiple images of the same object

Leonid P. Yaroslavsky, H. John Caulfield

Proceedings Volume 1699, Signal Processing, Sensor Fusion, and Target Recognition; (1992) https://doi.org/10.1117/12.138214
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Leonid P. Yaroslavsky and H. John Caulfield "Deconvolution of multiple images of the same object", Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); https://doi.org/10.1117/12.138214

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