Adaptive Image Denoising Based on MACWM and NLEM Filters

Abstract

High range types of noise can infect and corrupt digital images. Of
these Noise types is the resulted from errors in the image acquisition
process. This error change pixel values that not reflect the true intensities
and image details vision. Several ways that noise can be introduced into
an image, most of them depending on how the image is created or
transmit through the network. In this paper, new proposed modifications
added to Modified Adaptive Center Weighted Median filter MACWM to
achieve the high accuracy in noise detection and removing especially
when image corrupted by multi noise types. None Local Euclidean
Median (NLEM) and Mean filters were added in these proposed
modifications improved the noise wide spectrum detection. Good vision
results produce from experiment the proposed system with less blur.