S Derin Babacan

Summary

Affiliation: Northwestern University
Country: USA

Publications

  1. doi request reprint Parameter estimation in TV image restoration using variational distribution approximation
    S Derin Babacan
    Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208 3118, USA
    IEEE Trans Image Process 17:326-39. 2008
  2. doi request reprint Variational bayesian blind deconvolution using a total variation prior
    S Derin Babacan
    Department of Electrical Engineering and Computer Science, Northwestern University, IL 60208 3118, USA
    IEEE Trans Image Process 18:12-26. 2009
  3. ncbi request reprint Bayesian compressive sensing using laplace priors
    S Derin Babacan
    Department of Electrical Engineering and Computer Science, Northwestern University, IL 60208 3118, USA
    IEEE Trans Image Process 19:53-63. 2010
  4. pmc Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors
    Martin Luessi
    Department of Electrical Engineering and Computer Science, Northwestern University, 2145 Sheridan Road, Evanston IL 60208, USA
    Neuroimage 55:113-32. 2011

Detail Information

Publications4

  1. doi request reprint Parameter estimation in TV image restoration using variational distribution approximation
    S Derin Babacan
    Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208 3118, USA
    IEEE Trans Image Process 17:326-39. 2008
    ..Experimental results show that the proposed approaches provide competitive performance without any assumptions about unknown hyper parameters and clearly outperform existing methods when additional information is included...
  2. doi request reprint Variational bayesian blind deconvolution using a total variation prior
    S Derin Babacan
    Department of Electrical Engineering and Computer Science, Northwestern University, IL 60208 3118, USA
    IEEE Trans Image Process 18:12-26. 2009
    ..Experimental results demonstrate that the proposed approaches provide higher restoration performance than non-TV-based methods without any assumptions about the unknown hyperparameters...
  3. ncbi request reprint Bayesian compressive sensing using laplace priors
    S Derin Babacan
    Department of Electrical Engineering and Computer Science, Northwestern University, IL 60208 3118, USA
    IEEE Trans Image Process 19:53-63. 2010
    ..We provide experimental results with synthetic 1-D signals and images, and compare with the state-of-the-art CS reconstruction algorithms demonstrating the superior performance of the proposed approach...
  4. pmc Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors
    Martin Luessi
    Department of Electrical Engineering and Computer Science, Northwestern University, 2145 Sheridan Road, Evanston IL 60208, USA
    Neuroimage 55:113-32. 2011
    ..Simulations with synthetic data and experiments with real data from a multimodal study on face perception demonstrate the performance of the proposed method...