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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/104795


    Title: Data hiding of high compression ratio in VQ indices with neighboring correlations
    Authors: 張雅婷;Chang, Ya Ting;Huang, Cheng-Ta;Huang, Chia-Ling;Wang, Shiuh-Jeng
    Contributors: 管理學院財務金融學系
    Keywords: Algorithms;Analysis;Codes;Communications technology;Compressing;Computer Communication Networks;Computer information security;Computer Science;Correlation;Data compression;Data Structures and Information Theory;Data transmission;Integrity;Internet;Multimedia;Multimedia computer applications;Multimedia Information Systems;Networks;Special Purpose and Application-Based Systems;Streams;Studies;Tables (data);Wavelet transforms;Wireless networks
    Date: 2015-03-01
    Issue Date: 2026-04-23 11:58:17 (UTC+8)
    Publisher: Springer Netherlands;Boston: Springer US
    Abstract: 摘要: As the progressive development of information and communication technology, the security and integrity of data transmission through public network have become important issues. Thus information hiding for images is one of the main research issues to maintain the data security and integrity. This paper proposed a data hiding method on the indices of VQ compression. For an index table of VQ compression, neighboring indices have similar index values in a great chance. Exploiting neighboring correlation among VQ indices, the proposed data hiding can enhance the embedding capacity and bit rate of encoding. In addition, our method can use the output bit stream to reconstruct the cover image. Experimental results show the proposed scheme performs better in average comparing with Lee et al.’s method [ 9 ] in 2013.
    其他題名: Multimed Tools Appl
    出版者: Boston: Springer US
    出版日期: 2015-03-01
    出處: Multimedia tools and applications, 2015-03, Vol.74 (5), p.1645-1666
    資源來源: ABI/INFORM Collection (ProQuest)
    版權: Springer Science+Business Media New York 2014
    版權: Springer Science+Business Media New York 2015
    識別號: ISSN: 1380-7501
    識別號: EISSN: 1573-7721
    識別號: DOI: 10.1007/s11042-014-2019-x
    Appears in Collections:[Department of Finance] journal & Dissertation

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