• DocumentCode
    3497593
  • Title

    Adding Gaussian noise to “denoise” JPEG for detecting image resizing

  • Author

    Nataraj, L. ; Sarkar, A. ; Manjunath, B.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California at Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1493
  • Lastpage
    1496
  • Abstract
    A common problem affecting most image resizing detection algorithms is that they are susceptible to JPEG compression. This is because JPEG introduces periodic artifacts, as it works on 8×8 blocks. We propose a novel yet counter intuitive technique to "denoise" JPEG images by adding Gaussian noise. We add a suitable amount of Gaussian noise to a resized and JPEG compressed image so that the periodicity due to JPEG compression is suppressed while that due to resizing is retained. The controlled Gaussian noise addition works better than median filtering and weighted averaging based filtering for suppressing the JPEG induced periodicity.
  • Keywords
    Gaussian noise; image coding; image denoising; Gaussian noise; JPEG compressed image; JPEG compression; image denoising; image resizing detection; median filtering; weighted averaging based filtering; Detection algorithms; Discrete Fourier transforms; Filtering; Forensics; Frequency; Gaussian noise; Image coding; Interpolation; Noise reduction; Transform coding; Gaussian noise addition; JPEG compression; bilinear interpolation; image forensics; image resizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414609
  • Filename
    5414609