Fast zonal DCT-based image compression for wireless camera sensor networks

Leila Makkaoui (1) , Vincent Lecuire (1) , Jean-Marie Moureaux (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This paper deals with image compression over Wireless Camera Sensor Networks (WCSNs) in order to decrease the energy consumption of sensors and thus to maintain a long network lifetime. As the radio tranceiver is the most power greedy components of sensor nodes, it seems natural to consider lossy compression before transmission as the appropriate answer to the problem of energy consumption. However, the limitation of sensor nodes in terms of memory as well as processor speed makes most of the compression algorithms inapplicable. Indeed, the most popular methods such as JPEG or JPEG2000 can yield a higher energy consumption than when transmitting uncompressed images. Here we propose to solve this problem by the design of a fast zonal DCT-based image compression algorithm which allows an efficient tuning of the trade-off between energy consumption and image distortion, as shown by experimental results provided in the paper.

Mots clés: wireless sensor networks; image compression; energy conservation

Domaines: Traitement des images [eess.IV]; Réseaux et télécommunications [cs.NI]

Leila Makkaoui, Vincent Lecuire, Jean-Marie Moureaux. Fast zonal DCT-based image compression for wireless camera sensor networks. 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010, Jul 2010, Paris, France. pp.126-129, ⟨10.1109/IPTA.2010.5586798⟩. ⟨hal-00546911⟩