DESIGN OF A COMPRESSIVE REMOTE IMAGING SYSTEM COMPENSATING A HIGHLY LIGHTWEIGHT ENCODING WITH A REFINED DECODING SCHEME

George Tzagkarakis, Arnaud Woiselle, Panagiotis Tsakalides, Jean-Luc Starck

2012

Abstract

Lightweight remote imaging systems have been increasingly used in surveillance and reconnaissance. Nevertheless, the limited power, processing and bandwidth resources is a major issue for the existing solutions, not well addressed by the standard video compression techniques. On the one hand, the MPEGx family achieves a balance between the reconstruction quality and the required bit-rate by exploiting potential intra- and interframe redundancies at the encoder, but at the cost of increased memory and processing demands. On the other hand, the M-JPEG approach consists of a computationally efficient encoding process, with the drawback of resulting in much higher bit-rates. In this paper, we cope with the growing compression ratios, required for all remote imaging applications, by exploiting the inherent property of compressive sensing (CS), acting simultaneously as a sensing and compression framework. The proposed compressive video sensing (CVS) system incorporates the advantages of a very simple CS-based encoding process, while putting the main computational burden at the decoder combining the efficiency of a motion compensation procedure for the extraction of inter-frame correlations, along with an additional super-resolution step to enhance the quality of reconstructed frames. The experimental results reveal a significant improvement of the reconstruction quality when compared with M-JPEG, at equal or even lower bit-rates.

Paper Citation

in Harvard Style

Tzagkarakis G., Woiselle A., Tsakalides P. and Starck J. (2012). DESIGN OF A COMPRESSIVE REMOTE IMAGING SYSTEM COMPENSATING A HIGHLY LIGHTWEIGHT ENCODING WITH A REFINED DECODING SCHEME . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 46-55. DOI: 10.5220/0003842400460055

in Bibtex Style

@conference{visapp12,
author={George Tzagkarakis and Arnaud Woiselle and Panagiotis Tsakalides and Jean-Luc Starck},
title={DESIGN OF A COMPRESSIVE REMOTE IMAGING SYSTEM COMPENSATING A HIGHLY LIGHTWEIGHT ENCODING WITH A REFINED DECODING SCHEME},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={46-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003842400460055},
isbn={978-989-8565-03-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - DESIGN OF A COMPRESSIVE REMOTE IMAGING SYSTEM COMPENSATING A HIGHLY LIGHTWEIGHT ENCODING WITH A REFINED DECODING SCHEME
SN - 978-989-8565-03-7
AU - Tzagkarakis G.
AU - Woiselle A.
AU - Tsakalides P.
AU - Starck J.
PY - 2012
SP - 46
EP - 55
DO - 10.5220/0003842400460055