Title :
Adaptive Order-Statistic Filters for optimal non-Gaussian noise suppression
Author :
Fernández, Manuel
Abstract :
This paper presents an adaptive Order-Statistic Filter (OSF) that maximizes the gain in image SNR. In particular, this distribution-independent non-linear filter approximates the optimal filter when the noise is not Gaussian (e.g., speckle-type clutter, Gamma noise, etc.). Simulation results quantitatively demonstrate the superior performance of the adaptive OSF over popular linear and non-linear alternatives in the presence of non-Gaussian noise.
Keywords :
Gaussian noise; image denoising; interference suppression; nonlinear filters; OSF; adaptive order-statistic filters; image SNR; optimal non-Gaussian noise suppression; Adaptive filters; Finite impulse response filter; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters; Vectors; Order Statistic; adaptive; image de-noising; rank order;
Conference_Titel :
Image Processing Workshop (WNYIPW), 2011 IEEE Western New York
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-0420-7
DOI :
10.1109/WNYIPW.2011.6122886
