Median Filter Aided CNN Based Image Denoising: An Ensemble Approach

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 along median filter layers after every convolutional layer dilation rate 8. case second model, it feed forward CNN or DnCNN half layers. third which Deep Denoiser Prior contains dilated up 6. By quantitative analysis, note our performs significantly well when tested BSD500 Set12 datasets.