Multi‐scale Cross‐path Concatenation Residual Network for Poisson denoising-Reference-Cited by-同舟云学术

Multi‐scale Cross‐path Concatenation Residual Network for Poisson denoising

Published:2019-05-21 Issue:8 Volume:13 Page:1295-1303
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Su Yueming¹²,Lian Qiusheng¹²,Zhang Xiaohua¹²,Shi Baoshun¹²^ORCID,Fan Xiaoyu¹²

Affiliation:

1. School of Information Science and Engineering, Yanshan UniversityQinhuang dao066004Hebei provincePeople's Republic of China

2. Hebei Key Laboratory of Information Transmission and Signal ProcessingYanshan UniversityQinhuang dao066004Hebei provincePeople's Republic of China

Funder

National Natural Science Foundation of China

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/iet-ipr.2018.5941

Reference36 articles.

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2. 2006 Statistical Challenges in Modern Astronomy (SCMA) IV Pennsylvania USA R. Willett Multiscale analysis of photon‐limited astronomical images 247 264

3. RemezT. LitanyO. andGiryesR.et al: ‘Deep convolutional denoising of low‐light images’. Available athttps://arxiv.org/abs/1701.01687 accessed 6 January 2017

4. A novel sparsity reconstruction method from Poisson data for 3D bioluminescence tomography;Zhang X.;J. Sci. Comput.,2012

5. Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising

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