Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Genser N, Seiler J, Kaup A
Publication year: 2017
Language: English


Abstract


Image and video signal processing demands in many areas for error concealment algorithms, whereby the execution time plays an important role. Within this paper, we introduce the scaled fixed-point Frequency Selective Extrapolation for fast image error concealment. This algorithm is based on the complex-valued Frequency Selective Extrapolation, but reduces computational complexity. It is shown that a fixed-point realization of the state-of-the-art algorithm requires an impracticable word-length, which makes it necessary to design a novel, scaled Frequency Selective Extrapolation that reduces the required word-length. Regarding the new approach, execution time can be reduced on average by 22.84 % and at best by up to 40.45 % compared to the state-of-the-art floating point Frequency Selective Extrapolation at the same reconstruction quality. Moreover, platforms can be exploited, which support fixed-point arithmetic only.



FAU Authors / FAU Editors

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


How to cite

APA:
Genser, N., Seiler, J., & Kaup, A. (2017). Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment. Beijing, CN.

MLA:
Genser, Nils, Jürgen Seiler, and Andre Kaup. "Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment." Proceedings of the International Conference on Image Processing (ICIP), Beijing 2017.

BibTeX: 

Last updated on 2018-19-04 at 04:00