Deep Learning Architectural Designs for Super-Resolution of Noisy Images

Villar-Corrales A, Schirrmacher F, Rieß C (2021)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Pages Range: 1635-1639

Conference Proceedings Title: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

DOI: 10.1109/ICASSP39728.2021.9414733

Authors with CRIS profile

Franziska Schirrmacher Sonderforschungsbereich/Transregio 89 Invasives Rechnen Christian Rieß Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

How to cite

APA:

Villar-Corrales, A., Schirrmacher, F., & Rieß, C. (2021). Deep Learning Architectural Designs for Super-Resolution of Noisy Images. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1635-1639).

MLA:

Villar-Corrales, Angel, Franziska Schirrmacher, and Christian Rieß. "Deep Learning Architectural Designs for Super-Resolution of Noisy Images." Proceedings of the ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021. 1635-1639.

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