• DocumentCode
    598215
  • Title

    A new design of multiple transforms for perceptual video encryption

  • Author

    Siu-Kei Au Yeung ; Bing Zeng

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2637
  • Lastpage
    2640
  • Abstract
    Perceptual (or partial) video encryption has recently been achieved via a random-key controlled selection among multiple transforms, where these transforms are designed by modifying the rotation angles at the last stage of the DCT´s butterfly structure. Later on, it was found that more efficient transforms can be obtained by applying random sign-flips at the same stage, which is equivalent to an extra rotation angle of 180°. In this paper, we generalize this technique by embedding random sign-flips into other stages in the DCT´s implementation structure. To this end, we first convert the separable implementation of the H.264 4×4 2-D DCT into a 1-D 16-point structure so that more sign-flips can be embedded at its various stages. Then, we introduce different pairing schemes (i.e., forming N/2 pairs for a group of N node-variables) to further increase the encryption space. Extensive experiments are carried out to show the performance of this improved video encryption scheme; whereas security analyses are conducted to show the newly designed transforms out-perform the previous ones in terms of search space and encryption efficiency.
  • Keywords
    cryptography; discrete cosine transforms; video coding; 1-D 16-point structure; H.264 4×4 2-D DCT; encryption efficiency; multiple transforms; perceptual video encryption; random sign-flips; random-key controlled selection; rotation angles; search space; Algorithm design and analysis; Discrete cosine transforms; Encoding; Encryption; PSNR; DCT´s butterfly structure; H.264/AVC; perceptual video encryption; sign-flips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467440
  • Filename
    6467440