Reduction of High Density Impulse Noise Using Block Based Decision and Unsymmetric Trimmed Median Filter
Shivpratap Pandey, Rupali Kushwaha · 2013
Digital images could be contaminated by impulse noise during image acquisition or transmission. The intensity of impulse noise has the tendency of being either relatively high or relatively low. Thus, it could severely degrade the image quality and cause some loss of information details. A new proposed algorithm modified decision based unsymmetric trimmed median filter (MDBUTMF) for the restoration of gray scale images that are highly corrupted by salt and pepper noise is used. This algorithm shows better results than the Standard Median Filter (MF), Adaptive median filter (AMF), Decision Based Unsymmetric Trimmed adaptive median filter (DBUTAMF), and Progressive Switched Median Filter (PSMF) at high noise densi- ty. The proposed algorithm is tested against different gray scale images and it gives better Peak Signal-to-Noise Ratio (PSNR).