• DocumentCode
    67659
  • Title

    Compressing Encrypted Images With Auxiliary Information

  • Author

    Xinpeng Zhang ; Yanli Ren ; Liquan Shen ; Zhenxing Qian ; Guorui Feng

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • Volume
    16
  • Issue
    5
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    1327
  • Lastpage
    1336
  • Abstract
    This paper proposes a novel scheme of compressing encrypted images with auxiliary information. The content owner encrypts the original uncompressed images and also generates some auxiliary information, which will be used for data compression and image reconstruction. Then, the channel provider who cannot access the original content may compress the encrypted data by a quantization method with optimal parameters that are derived from a part of auxiliary information and a compression ratio-distortion criteria, and transmit the compressed data, which include an encrypted sub-image, the quantized data, the quantization parameters and another part of auxiliary information. At receiver side, the principal image content can be reconstructed using the compressed encrypted data and the secret key. Experimental result shows the ratio-distortion performance of the proposed scheme is better than that of previous techniques.
  • Keywords
    data compression; distortion; image coding; image reconstruction; private key cryptography; auxiliary information; channel provider; compressing encrypted images; compression ratio-distortion criteria; data compression; encrypted sub-image; image reconstruction; optimal parameters; principal image content; quantization method; quantized data; ratio-distortion performance; receiver side; secret key; Discrete cosine transforms; Encryption; Image coding; Image reconstruction; Quantization (signal); Receivers; Compression ratio-distortion performance; image compression; image encryption;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2014.2315974
  • Filename
    6784133