A New Adaptive Switching Median Filter

作者：Akkoul Smail^*; Ledee Roger; Leconge Remy; Harba Rachid

来源：IEEE Signal Processing Letters, 2010, 17(6): 587-590.

DOI：10.1109/LSP.2010.2048646

• Detail-preserving
• image restoration
• impulse noise detection
• switching median filter

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 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.

• 出版日期2010-6