Abstract
Compressed sensing is famous for its compression performances over existing schemes in this field. We apply compressed sensing to digital images for error-controlled transmission in this paper. For assessing the compression performances, researches assume to have the error-free transmission between the encoder and the decoder. For transmitting compressed sensing signals over lossy channels, error propagation would be expected, and the ways to apply error control schemes for compressed sensing signals would be much required for guaranteed quality of reconstructed images. We propose to transmit compressed sensing signals over multiple independent channels for error-controlled transmission. By employing the correlations between the compressed sensing signals from different channels, induced errors from the lossy channels can be effectively alleviated. Simulation results have presented the reconstructed image qualities, which depict the effectiveness of the use of multi-channel transmission of compressed sensing signals.
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Acknowledgement
The authors would like to thank Ministry of Science and Technology, Taiwan, R.O.C., for supporting this paper under Grants No. MOST 104-2221-E-390-012 and MOST 105-2221-E-390-022.
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Huang, HC., Chen, PL., Chang, FC. (2017). Error Control Schemes for Robust Transmission with Compressed Sensing Signals. In: Pan, JS., Snášel, V., Sung, TW., Wang, X. (eds) Intelligent Data Analysis and Applications. ECC 2016. Advances in Intelligent Systems and Computing, vol 535. Springer, Cham. https://doi.org/10.1007/978-3-319-48499-0_25
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DOI: https://doi.org/10.1007/978-3-319-48499-0_25
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