Denoising of medical imagery using a third-order statistical approach

Authors:
S. P. Kozaitis;T. Young
Affiliations:
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL;Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL
Venue:
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Year:
2009

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Abstract

We investigated the denoising of medical imagery using a nonseparable third-order statistical approach. By using an efficient algorithm, we were to keep the execution time low. We performed experiments with medical imagery corrupted by nostationary Gaussian noise. We found that our approach showed improved results when compared to other thresholding methods.