The project is aimed at comparing performance of filters for pulse noise removal in images. 22 filters ([1-18]) were implemented on a Matlab platform and tested in terms of: False alarms errors Missing errors Estimation errors due to false alarms and missing Visual quality The comparison results are presented in form of tables in which the filters are sorted in descending order of the quality. ...

Image denoising is a challenging research problem that aims to recover noise-free images from those are contaminated with noise. In this paper, we focus on the of additive white Gaussian For purpose, propose an ensemble learning model uses output three image models, namely ADNet, IRCNN, and DnCNN, in ratio 2:3:6, respectively. The first (ADNet) consists Convolutional Neural Networks attention a...