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.
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Zhou, L., Vasilakos, A., Zhang, Y., Muntean, GM. (2010). Resolution-Improvement Scheme for Wireless Video Transmission. In: Chen, C.W., Li, Z., Lian, S. (eds) Intelligent Multimedia Communication: Techniques and Applications. Studies in Computational Intelligence, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11686-5_15
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DOI: https://doi.org/10.1007/978-3-642-11686-5_15
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