• DocumentCode
    1783632
  • Title

    Enhanced Difference Alteration with Weighted Averages for Reversible Data Hiding

  • Author

    Hsiang-Cheh Huang ; Chuan-Chang Lin ; Yuh-Yih Lu ; Yueh-Hong Chen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    Reversible data hiding has emerged in recent years, and it has the fundamental requirement of reversibility. For reversible data hiding, secret information is embedded into original image with devised algorithms, and the marked image should be delivered to the decoder without any damage. For decoding, both the embedded secret and original image should be recovered perfectly. With these characteristics, it can be suited for applications such as medical images or military information. There have been a variety of algorithms that can be looked for in literature. With the algorithm proposed in this paper, reversibility can be guaranteed, and performance measures, including image quality, capacity, side information, and implementation issues, reveal that proposed algorithm can be suitable for practical applications.
  • Keywords
    image coding; steganography; difference alteration enhancement; embedded secret image recovery; image capacity; image decoding; image implementation issues; image quality; image side information; marked image; medical images; military information; original image recovery; performance measures; reversibility requirement; reversible data hiding; weighted averages; Decoding; Educational institutions; Histograms; Multimedia communication; Signal processing; Signal processing algorithms; Watermarking; difference value; histogram; reversible data hiding; sliding window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-5389-9
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2014.11
  • Filename
    6998256