Local Statistics Estimation For Rapid Frequency Selective Extrapolation

Genser N, Seiler J, Kaup A (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 1 - 5

Event location: Poznań PL

ISBN: 978-1-5090-6344-4

DOI: 10.1109/IWSSIP.2017.7965575

Abstract

Fast error concealment algorithms play an important role in image and video signal processing. Within this paper, a novel and highly accelerated Frequency Selective Extrapolation adaption is introduced for rapid image error concealment. The state-of-the-art complex-valued Frequency Selective Extrapolation runs with fixed parameters, e.g., a constant number of iterations, so far. In this paper, the algorithm is accelerated by determining local statistics of neighboring blocks. As a consequence, internal parameters can be estimated to match the processed image content dynamically instead of using predefined constants. Due to this, it is possible to achieve the same reconstruction quality as the state-of-the-art algorithm, while the execution time decreases on average by 41.30 % and at best by up to 57.08 %.

Authors with CRIS profile

Nils Genser Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Genser, N., Seiler, J., & Kaup, A. (2017). Local Statistics Estimation For Rapid Frequency Selective Extrapolation. In Proceedings of the International Conference on Systems, Signals and Image Processing (IWSSIP) (pp. 1 - 5). Poznań, PL.

MLA:

Genser, Nils, Jürgen Seiler, and André Kaup. "Local Statistics Estimation For Rapid Frequency Selective Extrapolation." Proceedings of the International Conference on Systems, Signals and Image Processing (IWSSIP), Poznań 2017. 1 - 5.

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