Recovering Missing Data in Coherent Diffraction Imaging

David A. Barmherzig, Alex H. Barnett, Charles L. Epstein, Leslie F. Greengard, Jeremy F. Magland, Manas Rachh

Research output: Contribution to journalArticlepeer-review


In coherent diffraction imaging (CDI) experiments, the intensity of the scattered wave impinging on an object is measured on an array of detectors. These measurements can be interpreted as samples of the square of the modulus of the Fourier transform of the unknown scattering density. A beamstop obstructs the forward scattered wave and, hence, the modulus Fourier data from a neighborhood of k = 0 cannot be measured. In this note, we describe a linear method for recovering this unmeasured modulus Fourier data from the measured values and an estimate of the support of the image’s autocorrelation function without consideration of phase retrieval. We analyze the effects of noise, and the conditioning of this problem, which grows exponentially with the modulus of the maximum spatial frequency not measured.

Original languageEnglish (US)
Pages (from-to)620-644
Number of pages25
JournalSIAM Journal on Imaging Sciences
Issue number2
StatePublished - 2021


  • autocorrelation image
  • coherent diffraction imaging
  • hole in k-space
  • noise
  • phase retrieval
  • recovered magnitude data

ASJC Scopus subject areas

  • General Mathematics
  • Applied Mathematics


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