DocumentCode
2437701
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
fYear
2009
fDate
1-4 Nov. 2009
Firstpage
1605
Lastpage
1608
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-5825-7
Type
conf
DOI
10.1109/ACSSC.2009.5470174
Filename
5470174
Link To Document