An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)

Multi-stage progressive image restoration network (MPRNet) is a three-stage CNN (convolutional neural network) for image restoration. MPRNet has been shown to provide high performance gains on several datasets for a range of image restoration problems including image denoising, deblurring, and deraining. The network is interesting because it manages to remove the three kinds of artifacts with a single architecture. Here, we provide an overview of the network and study its performance and computational complexity in comparison with other state-of-the-art methods. Source Code The source code and documentation for this algorithm are available from the web page of this article(1). The source code is borrowed from the MPRNet original code and pre-trained models(2). Usage instructions are included in the README.txt file of the archive. This is an MLBriefs article, the source code has not been reviewed!