Image-restoration aggregation

Gregory A. Baraghimian; William P. Lincoln; Jerry A. Burman

doi:10.1117/12.23564

1 November 1990 Image-restoration aggregation

Gregory A. Baraghimian, William P. Lincoln, Jerry A. Burman

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23564
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

We consider the problem of point source target detection. It is desirable to remove sensor degradation from images to obtain a better object representation. Two techniques are considered: a simple four-pixel average and a more complex maximum entropy deconvolution approach. Each of the methods perform well under certain varying conditions. Our motivation is based on applications such as: (1) weapon systems for the Strategic Defense Initiative that require a capability to engage a multiple target threat at long ranges and (2) star tracking systems for satellite guidance.

Citation Download Citation

Gregory A. Baraghimian, William P. Lincoln, and Jerry A. Burman "Image-restoration aggregation", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23564

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