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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118720

    Title: Image-adaptive robust transmission for block compressed sensing
    Authors: Huang, H.-C.;Chang, F.-C.;Chen, Y.-H.;Chen, P.-L.
    Keywords: block compressed sensing;multiple description coding;the least absolute shrinkage and selection operator
    Date: 2020-04-30
    Issue Date: 2020-06-01 12:15:29 (UTC+8)
    Abstract: Compressed media are vulnerable to channel errors during transmission, and protection of compressed media would be much required. In this paper, we employ block compressed sensing (BCS) for compression. We apply the inherent characteristics of original image content to aid the data protection performance for BCS. Image blocks are classified into active and smooth ones, and different protection schemes are applied. With active blocks, we protect with multiple description coding (MDC), while with smooth blocks, we perform the least absolute shrinkage and selection operator (LASSO). Both schemes can be worked together or be performed independently for data protection. Simulation results have pointed out the enhancements with image-adaptive classification of blocks for error resilient transmission of block compressed sensing.
    DOI: 10.1109/LifeTech48969.2020.1570618988
    Appears in Collections:[Department of Innovative Information and Technology] Proceeding

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