Home
Uni-Logo
 

Blind Deconvolution with PSF Regularization for Wide-field Microscopy

IEEE International Symposium on Biomedical Imaging (ISBI): 1292 - 1295 , 2012
Download the publication : deconv_keuper.pdf [587KB]  

Abstract: We propose to use a kernel intensity penalizer (KIP) in the blind maximum likelihood expectation maximization (MLEM) deconvolution scheme. With this very general kernel regularization term, we can stabilize the blind MLEM scheme even for the deconvolution of wide-field microscopic recordings. No complex prior point spread function models are needed. We combine state of the art optimization schemes using Tikhonov-Miller and TV regularization with our new kernel regularization. The proposed method improves the conventional deconvolution methods in terms of SNR on real and simulated datasets.

Images and movies

 

BibTex references

@InProceedings{KTBRB12,
  author       = "Margret Keuper and Maja Temerinac-Ott and Jan Padeken and Patrick Heun and Thomas Brox and Hans Burkhardt and Olaf Ronneberger",
  title        = "Blind Deconvolution  with PSF Regularization for Wide-field Microscopy",
  booktitle    = "IEEE International Symposium on Biomedical Imaging (ISBI)",
  pages        = "1292 - 1295 ",
  year         = "2012",
  url          = "http://lmb.informatik.uni-freiburg.de//Publications/2012/KTBRB12"
}

Other publications in the database