Resolution-improvement scheme for wireless video transmission

Liang Zhou 1 Athanasios Vasilakos 2 Yan Zhang 3 Gabriel-Miro Muntean 4
1 UEI - Unité d'Électronique et d'informatique
2 Department of Computer and Telecommunications Engineering [Kozani]
3 SRL - Simula Research Laboratory [Lysaker]
4 School of Electronic Engineering
Abstract : In recent years, wireless video transmission has emerged as one of the high growth applications of wireless communication technology. However, this error-prone network is packet based where many potential reasons may result in packet loss which has a devastating effect on the visual quality of images at the receiver. In this work, we study a coordinated application of Error-Resilient (ER) and Super-Resolution (SR) to enhance the resolution of image transmitted over wireless networks. Compressed video bitstreams require protection from channel errors in a wireless channel. The 3-D set partitioning in hierarchical trees (SPIHT) coder has proved its efficiency and its real-time capability in compression of video. A forward-error-correcting (FEC) channel (RCPC) code combined with a single automatic-repeat request (ARQ) proved to be an effective means for protecting the bitstream. Furthermore, a robust SR algorithm is proposed in the presence of different kinds of packet loss rate to enhance the image resolution. Experimental results indicate that the proposed robust resolution-enhancement scheme outperforms the competing methods from the aspects of PSNR (Peak-Signal-to-Noise Ratio) and visual quality under different packet loss rates. © 2010 Springer-Verlag Berlin Heidelberg.
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Contributor : Aurélien Arnoux <>
Submitted on : Wednesday, July 3, 2013 - 12:38:08 PM
Last modification on : Thursday, October 3, 2019 - 3:36:02 PM

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Liang Zhou, Athanasios Vasilakos, Yan Zhang, Gabriel-Miro Muntean. Resolution-improvement scheme for wireless video transmission. Intelligent Multimedia Communication: Techniques and Applications, 280 (-), Springer Berlin Heidelberg, pp.443-464, 2010, Studies in Computational Intelligence, 978-3-642-11685-8. ⟨10.1007/978-3-642-11686-5_15⟩. ⟨hal-00830775⟩

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