• DocumentCode
    249272
  • Title

    Recovering planar projections of printed clustered-dot halftones

  • Author

    Pollard, Stephen ; Ulichney, Robert ; Gaubatz, Matthew

  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    4226
  • Lastpage
    4230
  • Abstract
    This paper presents a novel method to recover planar projections (homographies) from perspectively distorted images of clustered-dot halftones. The method uses the variation of the local affine deformation of the halftone (estimated using a Fourier method) to recover the additional projective components. Evidence provided from simulated distortion and mobile capture shows that the approach provides an effective first step in the problem of using mobile device to recover stenographic information embedded in unknown halftone images, as pixel-accurate alignment is needed to recover the data.
  • Keywords
    Fourier transforms; image processing; steganography; Fourier transform; halftone images; homographies; image distortion; local affine deformation; mobile device; pixel-accurate alignment; planar projection recovery; printed clustered-dot halftones; projective components; stenographic information recovery; Accuracy; Approximation methods; Cameras; Discrete Fourier transforms; Mobile handsets; Fourier Transform; Halftone; Homography; Planar Projection; Stegatone; Vanishing Points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025858
  • Filename
    7025858