Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling

Heimann V, Spruck A, Kaup A (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: IEEE

City/Town: NEW YORK

Conference Proceedings Title: 2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP)

DOI: 10.1109/MMSP55362.2022.9949143

Authors with CRIS profile

Viktoria Heimann Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andreas Spruck Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Additional Organisation(s)

Sonderforschungsbereich 1483/1 Empathokinästhetische Sensorik – Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (EmpkinS)

How to cite

APA:

Heimann, V., Spruck, A., & Kaup, A. (2022). Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling. In 2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP). NEW YORK: IEEE.

MLA:

Heimann, Viktoria, Andreas Spruck, and André Kaup. "Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling." Proceedings of the IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) NEW YORK: IEEE, 2022.

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