New infrared blur estimation and restoration algorithm

George A. Lampropoulos; James F. Boulter; Jean-Pierre Ardouin

doi:10.1117/12.372681

6 December 1999 New infrared blur estimation and restoration algorithm

George A. Lampropoulos, James F. Boulter, Jean-Pierre Ardouin

Proceedings Volume 3759, Infrared Spaceborne Remote Sensing VII; (1999) https://doi.org/10.1117/12.372681
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

George A. Lampropoulos, James F. Boulter, and Jean-Pierre Ardouin "New infrared blur estimation and restoration algorithm", Proc. SPIE 3759, Infrared Spaceborne Remote Sensing VII, (6 December 1999); https://doi.org/10.1117/12.372681

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