Title :
Denoising of medical imagery using a third-order statistical approach
Author :
Kozaitis, S.P. ; Young, T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Inst. of Technol., Melbourne, FL, USA
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.
Keywords :
Gaussian noise; image denoising; medical image processing; statistical analysis; medical imagery denoising; nonseparable third-order statistical approach; nostationary Gaussian noise; thresholding method; Biomedical imaging; Gaussian noise; Higher order statistics; Image reconstruction; Noise reduction; Optimization methods; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-5825-7
DOI :
10.1109/ACSSC.2009.5470174
