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

Genser N, Seiler J, Kaup A (2017)

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Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 2084 - 2088

Event location: Beijing

ISBN: 978-1-5090-2175-8

DOI: 10.1109/ICIP.2017.8296649

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.

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How to cite

APA:

Genser, N., Seiler, J., & Kaup, A. (2017). Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment. In Proceedings of the IEEE International Conference on Image Processing (ICIP) (pp. 2084 - 2088). Beijing, CN.

MLA:

Genser, Nils, Jürgen Seiler, and André Kaup. "Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment." Proceedings of the IEEE International Conference on Image Processing (ICIP), Beijing 2017. 2084 - 2088.

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