Enhanced CNN for image denoising-Reference-Cited by-同舟云学术

Enhanced CNN for image denoising

Published:2019-03 Issue:1 Volume:4 Page:17-23
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI Transactions on Intelligence Technology

Author:

Tian Chunwei¹²,Xu Yong¹²,Fei Lunke³,Wang Junqian¹²,Wen Jie¹²,Luo Nan⁴

Affiliation:

1. Bio‐Computing Research Center, Harbin Institute of TechnologyShenzhenShenzhen518055People's Republic of China

2. Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of TechnologyShenzhenShenzhen518055People's Republic of China

3. School of Computer Science and TechnologyGuangdong University of TechnologyGuangzhou510006People's Republic of China

4. Institute of Automation Heilongjiang Academy of SciencesHarbin150090People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2018.1054

Reference45 articles.

1. Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion

2. Image Restoration: From Sparse and Low-Rank Priors to Deep Priors [Lecture Notes]

3. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

4. Wavelet-based image denoising using a Markov random field a priori model

5. MairalJ.BachF.PonceJ.et al.: ‘Non‐local sparse models for image restoration’.Proc. IEEE Int. Conf. Computer Vision September/October2009 pp.2272–2279

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