Dilated Deep Residual Network for Image Denoising
Published: Nov 1, 2017
Abstract
Variations of deep neural networks such as convolutional neural network (CNN) have been successfully applied to image denoising. The goal is to automatically learn a mapping from a noisy image to a clean image given training data consisting of pairs of noisy and clean images. Most existing CNN models for image denoising have many layers. In such cases, the models involve a large amount of parameters and are computationally expensive to train. In...
Paper Details
Title
Dilated Deep Residual Network for Image Denoising
Published Date
Nov 1, 2017
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