Sequential Error Concealment for Video/Images by Sparse Linear Prediction

Journal article


Publication Details

Author(s): Koloda J, Østergaard J, Jensen S, Peinado A, Sánchez V
Journal: IEEE Transactions on Multimedia
Publication year: 2013
Volume: 15
Journal issue: 4
Pages range: 957-969
ISSN: 1520-9210
Language: English


Abstract

In this paper, we propose a novel sequential error concealment algorithm for video and images based on sparse linear prediction. Block-based coding schemes in packet loss environments are considered. Images are modelled by means of linear prediction, and missing macroblocks are sequentially reconstructed using the available groups of pixels. The optimal predictor coefficients are computed by applying a missing data regression imputation procedure with a sparsity constraint. Moreover, an efficient procedure for the computation of these coefficients based on an exponential approximation is also proposed. Both techniques provide high-quality reconstructions and outperform the state-of-the-art algorithms both in terms of PSNR and MS-SSIM.


FAU Authors / FAU Editors

Koloda, Jan
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Koloda, J., Østergaard, J., Jensen, S., Peinado, A., & Sánchez, V. (2013). Sequential Error Concealment for Video/Images by Sparse Linear Prediction. IEEE Transactions on Multimedia, 15(4), 957-969. https://dx.doi.org/10.1109/TMM.2013.2238524

MLA:
Koloda, Jan, et al. "Sequential Error Concealment for Video/Images by Sparse Linear Prediction." IEEE Transactions on Multimedia 15.4 (2013): 957-969.

BibTeX: 

Last updated on 2019-25-04 at 18:38