Multipurpose mean-square-error filter for processing obscured images

Jehad Khoury; Peter D. Gianino; Charles L. Woods

doi:10.1117/12.458404

6 March 2002 Multipurpose mean-square-error filter for processing obscured images

Jehad Khoury, Peter D. Gianino, Charles L. Woods

Proceedings Volume 4734, Optical Pattern Recognition XIII; (2002) https://doi.org/10.1117/12.458404
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

We develop a generalized minimum mean-square-error image processing filter for recognition and retrieval of noisy, blurred and obscured images. We examined the performance of this filter in four modes: (1) the well-known mean-square- error correlation filter; (2) the phase-only mean-square- error correlation filter; (3) the matched mean-square-error correlation filter, and (4) the image retrieving filter. Our simulation result show that it is possible to retrieve and recognize blurred images that are 90 percent obscured and whose signal-to-noise ratio is 0.1.

Citation Download Citation

Jehad Khoury, Peter D. Gianino, and Charles L. Woods "Multipurpose mean-square-error filter for processing obscured images", Proc. SPIE 4734, Optical Pattern Recognition XIII, (6 March 2002); https://doi.org/10.1117/12.458404

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