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  DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring

Dong, J., Roth, S., & Schiele, B. (2022). DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12), 9960-9976. doi:10.1109/TPAMI.2021.3138787.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-B5A7-C Version Permalink: https://hdl.handle.net/21.11116/0000-000B-B5A8-B
Genre: Journal Article
Latex : {DWDN}: {Deep Wiener Deconvolution Network} for Non-Blind Image Deblurring

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 Creators:
Dong, Jiangxin1, Author           
Roth, Stefan2, Author
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Dong22
DOI: 10.1109/TPAMI.2021.3138787
PMID: 34962863
 Degree: -

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Project name : RED
Grant ID : 866008
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
  Other : IEEE Trans. Pattern Anal. Mach. Intell.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: 44 (12) Sequence Number: - Start / End Page: 9960 - 9976 Identifier: ISSN: 0162-8828
CoNE: https://pure.mpg.de/cone/journals/resource/954925479551