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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/107206


    題名: Reversible data hiding using side-match predictions on steganographic images
    作者: 許富皓;Hsu, Fu-Hau;Wu, Min-Hao;Wang, Shiuh-Jeng
    貢獻者: 資訊電機學院資訊工程學系
    關鍵詞: Analysis;Applied sciences;Artificial intelligence;Computer Communication Networks;Computer information security;Computer Science;Computer science;control theory;systems;Cryptography;Data Structures and Information Theory;Distortion;Exact sciences and technology;Histograms;Image processing systems;Image quality;Information processing;Information, signal and communications theory;Internet;Memory and file management (including protection and security);Memory organisation. Data processing;Methods;Multilevel;Multimedia;Multimedia Information Systems;Noise levels;Pattern recognition. Digital image processing. Computational geometry;Signal and communications theory;Software;Special Purpose and Application-Based Systems;Strategy;Studies;Telecommunications and information theory
    日期: 2013-12-01
    上傳時間: 2026-04-23 13:59:51 (UTC+8)
    出版者: Springer Netherlands;Boston: Springer US
    摘要: 摘要: Information hiding is an important method to achieve multi-media security. Recently, many researchers have paid attention to the reversible data hiding scheme, which can completely recover original multi-media files after the embedded data are extracted. In this paper, a side-match approach is proposed to achieve more capacity in histogram-based reversible data hiding for grayscale images. The histogram is created by exploiting the difference in all the values between pixels and their predictedive values. Experimental results show that our method is capable of providing a great embedding capacity without causing noticeable distortion. In one-level hiding, where it has the best capacity, our method conserves image qualities larger than 48 dB. Furthermore, in multilevel hiding, a rotation strategy is proposed to further improve image qualities. Experimental results show that our method performs better than other existing methods in multilevel hiding cases.
    其他題名: Multimed Tools Appl
    出版者: Boston: Springer US
    出版日期: 2013-12-01
    出處: Multimedia tools and applications, 2013-12, Vol.67 (3), p.571-591
    資源來源: ABI/INFORM Global
    版權: Springer Science+Business Media, LLC 2012
    版權: 2015 INIST-CNRS
    版權: Springer Science+Business Media New York 2013
    識別號: ISSN: 1380-7501
    識別號: EISSN: 1573-7721
    識別號: DOI: 10.1007/s11042-012-1047-7
    顯示於類別:[資訊工程學系] 期刊論文

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