Robust Image Recovery by a Least Median Square Technique

Dong Yoon Kim; Peter Meer; Doron Mintz; Azriel Rosenfeld

doi:10.1364/IUMV.1989.WB1

Image Understanding and Machine Vision
Technical Digest Series (Optica Publishing Group, 1989),
paper WB1
•https://doi.org/10.1364/IUMV.1989.WB1

Robust Image Recovery by a Least Median Square Technique

Dong Yoon Kim, Peter Meer, Doron Mintz, and Azriel Rosenfeld

Image Understanding and Machine Vision 1989

Cape Cod, MA United States
12–14 June 1989
ISBN:

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Session 10 (WB)

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D. Y. Kim, P. Meer, D. Mintz, and A. Rosenfeld, "Robust Image Recovery by a Least Median Square Technique," in Image Understanding and Machine Vision, Technical Digest Series (Optica Publishing Group, 1989), paper WB1.

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Abstract

To compensate for the inherent limitations of least square based surface fitting (regression) methods, in recent years robust statistical techniques have been developed, the results of which remain trustworthy even if the contaminating noise has a non-Gaussian distribution and/or part of the data is missing (for reviews see the books of Huber, 1981; Rousseeuw and Leroy, 1987)

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