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