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Proceedings Paper

New infrared blur estimation and restoration algorithm
Author(s): George A. Lampropoulos; James F. Boulter; Jean-Pierre Ardouin
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Paper Abstract

This paper presents a systematic new methodology for restoration of infrared images. The approaches described herein are applicable to single frame and multi-frame or hyper-spectra infrared images. The restoration problem is performed in two stages: (1) noise reduction and (2) linear blur and image estimation and restoration. The additive and multiplicative noise reduction is statistically optimal and improves the estimation of blurring function and restored image. For the restoration process we discuss alternate methods and provide the framework for error free restoration by eliminating the well known singularity problems that are often present in inverse solutions with singularities. Some initial results are presented.

Paper Details

Date Published: 6 December 1999
PDF: 15 pages
Proc. SPIE 3759, Infrared Spaceborne Remote Sensing VII, (6 December 1999); doi: 10.1117/12.372681
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
James F. Boulter, Defence Research Establishment Valcartier (Canada)
Jean-Pierre Ardouin, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 3759:
Infrared Spaceborne Remote Sensing VII
Marija Strojnik; Bjorn F. Andresen, Editor(s)

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