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Book Sections Studies in Computational Intelligence Year : 2010

Resolution-improvement scheme for wireless video transmission


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.

Dates and versions

hal-00830775 , version 1 (03-07-2013)



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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