Title :
Adaptive impulse detection using center-weighted median filters
Author :
Chen, Tao ; Wu, Hong Ren
Author_Institution :
Sch. of Comput. Sci & Software Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
Previous median-based impulse detection strategies tend to work well for fixed-valued impulses but poorly for random-valued impulse noise, or vice versa. This letter devises a novel adaptive operator, which forms estimates based on the differences between the current pixel and the outputs of center-weighted median (CWM) filters with varied center weights. Extensive simulations show that the proposed scheme consistently works well in suppressing both types of impulses with different noise ratios.
Keywords :
adaptive filters; image processing; impulse noise; interference suppression; median filters; adaptive impulse detection; adaptive operator; center-weighted median filters; fixed-valued impulses; image processing; noise suppression; random-valued impulse noise; Adaptive filters; Attenuation; Detectors; Filtering; Helium; Image processing; Jitter; Nonlinear distortion; Pixel; Signal to noise ratio;
Journal_Title :
Signal Processing Letters, IEEE