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  Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

Bosse, S., Maniry, D., Müller, K.-R., Wiegand, T., & Samek, W. (2018). Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment. IEEE Transactions on Image Processing, 27(1), 206-219. doi: 10.1109/TIP.2017.2760518.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-5567-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-5568-3
Genre: Journal Article

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This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0
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 Creators:
Bosse, Sebastian1, Author
Maniry, Dominique1, Author
Müller, Klaus-Robert2, Author           
Wiegand, Thomas1, Author
Samek, Wojciech1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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Language(s): eng - English
 Dates: 20172018
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1109/TIP.2017.2760518
BibTex Citekey: Bosse2018
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Title: IEEE Transactions on Image Processing
Source Genre: Journal
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Publ. Info: New York, NY : Institute of Electrical and Electronics Engineers
Pages: - Volume / Issue: 27 (1) Sequence Number: - Start / End Page: 206 - 219 Identifier: ISSN: 1057-7149
CoNE: https://pure.mpg.de/cone/journals/resource/954925596558