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Lossless compression of correlated images/data with low complexity encoder using distributed source coding techniques

conference contribution
posted on 2023-02-07, 23:14 authored by M Ali, Manzur MurshedManzur Murshed
This paper presents a novel lossless compression technique to transmit correlated images or data within sensor networks of inexpensive devices by exploiting the temporal correlation under the distributed source coding paradigm where the complexity of the encoder is much lower than that of the decoder. The technique operates in pixel-domain to avoid any lossy transform and relies on syndrome decoding of trellis codes by innovatively encoding the final state of the trellis. Experimental results on standard test video sequences proved superiority of this technique against the entropy based LZW lossless coding as well as a recently developed asymptotically lossless distributed source coding technique. © Springer-Verlag Berlin Heidelberg 2005.

History

Volume

3656 LNCS

Pagination

302-309

Location

CANADA, Toronto

Start date

2005-09-28

End date

2005-09-30

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783540290698

ISBN-10

3540290699

Language

English

Editor/Contributor(s)

Campilho A

Title of proceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event

2nd International Conference on Image Analysis and Recognition

Publisher

SPRINGER-VERLAG BERLIN

Series

Lecture Notes in Computer Science

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