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

Abstract

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. **This is an MLBriefs article, the source code has not been reviewed!**<br> **The original source code is [[available here|https://github.com/swz30/MPRNet]] (last checked 2023/04/12).**<br>