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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118406

    Title: Error control and regression for block compressed sensing of color images
    Authors: Huang, H.-C.;Chen, Y.-H.;Chang, F.-C.;Chen, P.-L.
    Keywords: block compressed sensing;color planes;multiple description coding;least absolute shrinkage and selection operator
    Date: 2019-10-15
    Issue Date: 2020-03-28 12:10:17 (UTC+8)
    Abstract: Transmission of multimedia contents with block compressed sensing (BCS) would be of great value for practical applications. Compressed data are vulnerable to channel errors during transmission, and effective means to protect them would be helpful to the decoding procedures. We choose multiple description coding (MDC) for error control in advance, and apply the least absolute shrinkage and selection operator (LASSO) for training the received data to alleviate the effect caused by channel errors. We also consider the inherent characteristics between color planes of original image to enhance the reconstruction. Simulations have depicted the advantages with these error control schemes for BCS.
    DOI: 10.1109/GCCE46687.2019.9015473
    Appears in Collections:[Department of Innovative Information and Technology] Proceeding

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