Multi‐scale GAN with residual image learning for removing heterogeneous blur-Reference-Cited by-同舟云学术

Multi‐scale GAN with residual image learning for removing heterogeneous blur

Published:2022-04-21 Issue:9 Volume:16 Page:2412-2431
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Khan Rayyan Azam¹^ORCID,Luo Yigang²,Wu Fang‐Xiang³^ORCID

Affiliation:

1. Department of Mechanical Engineering University of Saskatchewan Saskatoon Canada

2. College of Medicine and Department of Surgery University of Saskatchewan Saskatoon Canada

3. Division of Biomedical Engineering, Department of Computer Science and Department of Mechanical Engineering University of Saskatchewan Saskatoon Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12497

Reference127 articles.

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2. Bigdeli S.A. Zwicker M.:Image restoration using autoencoding priors. arXiv:1703.09964 (2017)

3. Model Based Parameter Estimation

4. Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring

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