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Tiny block-size coding for energy-efficient image compression and communication in wireless camera sensor networks / Cristian Duran-Faundez in Signal processing. Image communication, Vol. 26 N° 8-9 (Octobre 2011) 

Public ISBD [article]  in Signal processing. Image communication > Vol. 26 N° 8-9 (Octobre 2011) . - pp. 466–481 Titre : Tiny block-size coding for energy-efficient image compression and communication in wireless camera sensor networks Type de document : texte imprimé Auteurs : Cristian Duran-Faundez, Auteur ; Vincent Lecuire, Auteur ; Francis Lepage, Auteur Année de publication : 2012 Article en page(s) : pp. 466–481 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Wireless  sensor  networks  Image  communication  Image  compression  Energy  conservation Résumé : This article presents a lightweight image compression algorithm explicitly designed for resource-constrained wireless camera sensors, called TiBS (tiny block-size image coding). TiBS operates on blocks of 2×2 pixels (this makes it easy for the end-user to conceal missing blocks due to packet losses) and is based on pixel removal. Furthermore, TiBS is combined with a chaotic pixel mixing scheme to reinforce the robustness of image communication against packet losses. For validation purposes, TiBS as well as a JPEG-like algorithm have been implemented on a real wireless camera sensor composed of a Mica2 mote and a Cyclops imager. The experimental results show that TiBS does not provide high compression ratios, but it enables energy-efficient image communication, even for the source camera node, and even for high packet loss rates. Considering an original 8-bpp grayscale image for instance, the amount of energy consumed by the Cyclops/Mica2 can be reduced by around 60% when the image is compressed using TiBS, compared to the scenario without compression. Moreover, the visual quality of reconstructed images is usually acceptable under packet losses conditions up to 40–50%. In comparison, the JPEG-like algorithm results in clearly more energy consumption than TiBS at similar image quality and, of course, its resilience to packet losses is lower because of the larger size of encoded blocks. Adding redundant packets to the JPEG-encoded data packets may be considered to deal with packet losses, but the energy problem remains. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596511000890 [article] Tiny block-size coding for energy-efficient image compression and communication in wireless camera sensor networks [texte imprimé] / Cristian Duran-Faundez, Auteur ; Vincent Lecuire, Auteur ; Francis Lepage, Auteur . - 2012 . - pp. 466–481. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 26 N° 8-9 (Octobre 2011) . - pp. 466–481 Mots-clés : Wireless  sensor  networks  Image  communication  Image  compression  Energy  conservation Résumé : This article presents a lightweight image compression algorithm explicitly designed for resource-constrained wireless camera sensors, called TiBS (tiny block-size image coding). TiBS operates on blocks of 2×2 pixels (this makes it easy for the end-user to conceal missing blocks due to packet losses) and is based on pixel removal. Furthermore, TiBS is combined with a chaotic pixel mixing scheme to reinforce the robustness of image communication against packet losses. For validation purposes, TiBS as well as a JPEG-like algorithm have been implemented on a real wireless camera sensor composed of a Mica2 mote and a Cyclops imager. The experimental results show that TiBS does not provide high compression ratios, but it enables energy-efficient image communication, even for the source camera node, and even for high packet loss rates. Considering an original 8-bpp grayscale image for instance, the amount of energy consumed by the Cyclops/Mica2 can be reduced by around 60% when the image is compressed using TiBS, compared to the scenario without compression. Moreover, the visual quality of reconstructed images is usually acceptable under packet losses conditions up to 40–50%. In comparison, the JPEG-like algorithm results in clearly more energy consumption than TiBS at similar image quality and, of course, its resilience to packet losses is lower because of the larger size of encoded blocks. Adding redundant packets to the JPEG-encoded data packets may be considered to deal with packet losses, but the energy problem remains. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596511000890