Title :
Improved method for blind estimation of the variance of mixed noise using weighted LMS line fitting algorithm
Author :
Abramov, Sergey ; Zabrodina, Victoriya ; Lukin, Vladimir ; Vozel, Benoit ; Chehdi, Kacem ; Astola, Jaakko
Author_Institution :
Dept. of Transmitters, Receivers & Signal Process., Nat. Aerosp. Univ., Kharkov, Ukraine
fDate :
May 30 2010-June 2 2010
Abstract :
The paper addresses blind evaluation of the parameters of mixed noise in images. The conventional approach is based on line fitting in the scatter-plot of local variance estimates using LMS algorithm. This does not utilize the fact that the points in the scatter pot typically appear in clusters that depend on the image. It is shown that the use of weighted LMS algorithm that takes into account the number of points in clusters provides considerable improvement in the accuracy of line fitting and, thus, better estimation of the parameters of mixed noise.
Keywords :
curve fitting; image denoising; least mean squares methods; blind estimation; image denoising; mixed noise variance; weighted LMS line fitting algorithm; Additive noise; Clustering algorithms; Curve fitting; Electronic mail; Least squares approximation; Noise robustness; Parameter estimation; Radar scattering; Signal processing algorithms; Transmitters;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537084
