An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)
Boshra Rajaei, Sara Rajaei, Hossein Damavandi
published
2023-05-03
reference
Boshra Rajaei, Sara Rajaei, and Hossein Damavandi, An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet), Image Processing On Line, 13 (2023), pp. 140–152. https://doi.org/10.5201/ipol.2023.446

Communicated by Jean-Michel Morel
Demo edited by Boshra Rajaei

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!
The original source code is available here (last checked 2023/04/12).

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