Title :
Despeckling Utilizing μ-Estimators
Author :
Aysal, T.C. ; Barner, K.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
In this paper, we propose a novel speckle filtering algorithm based on the maximum likelihood estimate of speckle statistics. The homomorphism approach is utilized to modify the multiplicative noise problem to an additive one. The statistics of the altered noise are derived. The problem is then converted to the statistical M-estimation. Properties of the proposed filtering structure are investigated. Finally, simulations indicating the advantages of the proposed filtering are presented.
Keywords :
biomedical ultrasonics; filtering theory; maximum likelihood estimation; medical image processing; speckle; statistical analysis; additive noise; homomorphism approach; maximum likelihood estimation; multiplicative noise problem; speckle filtering algorithm; statistical M-estimation; Adaptive filters; Additive noise; Computational modeling; Electronic mail; Filtering algorithms; Maximum likelihood estimation; Medical simulation; Speckle; Statistics; Ultrasonic imaging; Rayleigh model; despeckling; multiplicative noise;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312702
