Multi-mode kernel-based minimum mean square error estimator for accelerated image error concealment

Conference contribution


Publication Details

Author(s): Koloda J, Seiler J, Peinado A, Kaup A
Publication year: 2016
Conference Proceedings Title: Data Compression Conference (DCC)
Pages range: 612
ISBN: 978-1-5090-1853-6
ISSN: 1068-0314


Abstract

Summary form only given. In this paper, we propose a novel multi-mode error concealment algorithm that aims at obtaining high quality reconstructions with reduced computational burden. Block-based coding schemes in packet loss-environment are considered. The proposed technique exploits the excellent reconstructing abilities of the kernel-based minimum mean square error (K-MMSE) estimator [1]. The complexity of our technique is dynamically adapted to the visual complexity of the area being reconstructed. The technique outperforms other state of the art algorithms and produces high quality reconstructions, equivalent to K-MMSE, while requiring less than one fourth of its computational time.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Koloda, Jan
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Koloda, J., Seiler, J., Peinado, A., & Kaup, A. (2016). Multi-mode kernel-based minimum mean square error estimator for accelerated image error concealment. In Data Compression Conference (DCC) (pp. 612). Snowbird, UT, US.

MLA:
Koloda, Jan, et al. "Multi-mode kernel-based minimum mean square error estimator for accelerated image error concealment." Proceedings of the Data Compression Conference (DCC), Snowbird, UT 2016. 612.

BibTeX: 

Last updated on 2019-19-04 at 01:10