Comparative Analysis of Various denoising algorithms
Keywords:
MF, DBMF, PSMF, UMF.Abstract
Image Processing & Image De-noising plays a crucial role in copious applications. The image de-noising
technique is to improve both visual appearance & interpretability of an image & also provide better output which is used
in further application in other automated image processing techniques by suppressing the unwanted information (noise
& blur). The proposed work compares different de-noising algorithms (such as Median Filter (MF), Decision Based
Median Filter (DBMF), Progressive Switched Median Filter (PSMF), Un-trimmed Median Filter (UMF)) based on the
various parameters such as PSNR (Peak Signal-to-Noise Ratio), MSE (Mean Square Error), IEF (Image Enhancement
Factor), MAE (Mean Absolute Error). The result is preferred on grayscale as well as on colored images for different
noise levels. From the results it is concluded that the UMF reduces the noise effectively
