Title :
A New Adaptive Switching Median Filter
Author :
Akkoul, Smaïl ; Lédée, Roger ; Leconge, Remy ; Harba, Rachid
Author_Institution :
Inst. Pluridisciplinaire de Rech. en Ing. des Syst., Mec., Energetique (PRISME), Univ. d´´Orleans, Orleans, France
fDate :
6/1/2010 12:00:00 AM
Abstract :
A new Adaptive Switching Median (ASWM) filter for removing impulse noise from corrupted images is presented. The originality of ASWM is that no a priori Threshold is needed as in the case of a classical Switching Median filter. Instead, Threshold is computed locally from image pixels intensity values in a sliding window. Results show that ASWM provides better performance in terms of PSNR and MAE than many other median filter variants for random-valued impulse noise. In addition it can preserve more image details in a high noise environment.
Keywords :
adaptive filters; image resolution; image restoration; median filters; adaptive switching median filter; corrupted images; image pixels intensity values; image restoration; random-valued impulse noise removal; sliding window; Detail-preserving; image restoration; impulse noise detection; switching median filter;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2010.2048646
