An Experimental Analysis on Removal of Salt and Pepper Noise from Digital Images
Nirvair Neeru, Lakhwinder Kaur · Communications in computer and information science · 2016
Images are normally degraded with noise. The main goal of the denoising technique is to eliminate the noise with minimum distortion. In this paper, work has been done to remove the salt & pepper noise from some of the standard images. The image denoising has been performed with median filter (MF), adaptive median filter (AMF), decision based unsymmetrical trimmed median filter (DBUTMF), modified decision based unsymmetric trimmed median filter (MDBUTMF) and decision based unsymmetric trimmed midpoint filter (DBUTMPF). The performance of each technique has been evaluated on the basis of four parameters namely, signal to noise ratio (SNR), Structure similarity index measure (SSIM), edge preservation index (EPI) and multiscale structure similarity index measure (MSSSIM).