• DocumentCode
    1001015
  • Title

    Holographic image representation with reduced aliasing and noise effects

  • Author

    Dovgard, Roman

  • Author_Institution
    Dept. of Appl. Math. & Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel
  • Volume
    13
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    867
  • Lastpage
    872
  • Abstract
    This paper presents a novel holographic image representation which has a better reconstruction quality after cropping the hologram than any known representation today. Reconstructed images are very close to ideally low-pass filtered versions of the original image, almost without aliasing. We use the same test images which were used by Bruckstein et al. (see ibid., vol.,7, p.1583-97, 1998) and show empirically that our method has smaller reconstruction errors, on all of them, than the errors produced by subsampling and Fourier transform methods presented by Bruckstein et al.
  • Keywords
    Fourier transforms; holography; image reconstruction; image representation; low-pass filters; noise; Fourier transform; holographic image representation; low-pass filtered version; noise effects; reconstruction quality; reduced aliasing; Fourier transforms; Holography; Image reconstruction; Image representation; Image sampling; Indexing; Layout; Low pass filters; Noise reduction; Watermarking; Algorithms; Artifacts; Artificial Intelligence; Computer Graphics; Holography; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.827228
  • Filename
    1303640