• DocumentCode
    671091
  • Title

    An improved image compression scheme with an adaptive parameters set in encrypted domain

  • Author

    Guochao Zhang ; Shaohui Liu ; Feng Jiang ; Debin Zhao ; Wen Gao

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A growing societal awareness about privacy and security push the development of signal processing techniques in the encrypted domain. Data compression in encrypted domain attracts much attention recently years due to its avoiding the leakage of data source during compression. This paper proposes an improved block-by-block compression scheme of encrypted image with flexible compression ratio. The original image is encrypted by permuting the blocks of the image and then permuting the pixels in the blocks. In the compression, pixels chosen randomly used as reference information, and remaining pixels are compressed by coset code. At the decoder side, side information (SI) which is generated by combining correlation among blocks and image restoration from partial random samples (IRPRS) is utilized to assist the decompression. Moreover, an adaptive system parameters selection method is also given in this paper. The experimental results show that the proposed method can achieve a better reconstructed result compared with the earlier method.
  • Keywords
    adaptive systems; cryptography; data compression; image coding; image restoration; adaptive system parameters selection method; block by block compression scheme; data compression; data source; encrypted domain; encrypted image; flexible compression ratio; image compression scheme; image restoration from partial random samples; reference information; side information; signal processing techniques; Cryptography; Decoding; Image coding; Image reconstruction; PSNR; Quantization (signal); Silicon; Image compression; coset code; image encryption; image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2013
  • Conference_Location
    Kuching
  • Print_ISBN
    978-1-4799-0288-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2013.6706408
  • Filename
    6706408