English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56816/90588 (63%)
Visitors : 12108806      Online Users : 58
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML33View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback