Complex-valued frequency selective extrapolation for fast image and video signal extrapolation

Journal article
(Original article)


Publication Details

Author(s): Seiler J, Kaup A
Journal: IEEE Signal Processing Letters
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication year: 2010
Volume: 17
Journal issue: 11
Pages range: 949-952
ISSN: 1070-9908


Abstract


Signal extrapolation tasks arise in miscellaneous manners in the field of image and video signal processing. But, due to the widespread use of low-power and mobile devices, the computational complexity of an algorithm plays a crucial role in selecting an algorithm for a given problem. Within the scope of this contribution, we introduce the complex-valued Frequency Selective Extrapolation for fast image and video signal extrapolation. This algorithm iteratively generates a generic complex-valued model of the signal to be extrapolated as weighted superposition of Fourier basis functions. We further show that this algorithm is up to 10 times faster than the existent real-valued Frequency Selective Extrapolation that takes the real-valued nature of the input signals into account during the model generation. At the same time, the quality which is achievable by the complex-valued model generation is similar to the quality of the real-valued model generation. © 2010 IEEE.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Seiler, J., & Kaup, A. (2010). Complex-valued frequency selective extrapolation for fast image and video signal extrapolation. IEEE Signal Processing Letters, 17(11), 949-952. https://dx.doi.org/10.1109/LSP.2010.2078504

MLA:
Seiler, Jürgen, and Andre Kaup. "Complex-valued frequency selective extrapolation for fast image and video signal extrapolation." IEEE Signal Processing Letters 17.11 (2010): 949-952.

BibTeX: 

Last updated on 2018-19-04 at 03:35