Suyash P.
Awate Asha and Keshav Bhide Chair Professor Computer Science and Engineering Department, Indian Institute of Technology (IIT) Bombay Office: A214, Kanwal Rekhi Building Email: myfirstname @cse.iitb.ac.in 

Research  Publications  Teaching  Students  CV  Personal 
Nonparametric EmpiricalBayes Approach for PatchBased MRI Denoising 
Suyash P. Awate, Ross T. Whitaker FeaturePreserving MRI Denoising: A Nonparametric Empirical Bayes Approach IEEE Trans. Med. Imaging 2007, 26(9):12421255 
Bayesian Image Denoising: A Key Problem (1) How to model the prior (i.e. Markov statistics of noiseless signal) ? (2) How to estimate the prior ? 
Challenges Using PreTuned Parametric
Priors (1) Strong models on signal (2) Parameters of the model tuned (incorrectly) by hand or via training 
Key Idea : Nonparametric EmpiricalBayes
Estimation (1) Model the prior, i.e. Markov statistics of the noiseless signal, using nonparametric statistical schemes (2) Estimate the prior from the image that is to be denoised, knowing the noise model (3) Use this estimate of the prior for optimal Bayesian denoising Estimating the Prior 
Bayesian Denoising by Iterated
Conditional Entropy Reduction (ICER) 
Denoised Images Residual Images = difference between denoised image and noiseless image 
Validation : Quantitative (BrainWeb
repository) 
Denoised a Real MR Image 
Related Works 
Peyman Milanfar A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical IEEE Signal Process. Mag. 30(1): 106128 (2013) 
Iterative
Nonlocal Means, or UINTA Suyash P. Awate, Ross T. Whitaker Unsupervised, InformationTheoretic, Adaptive Image Filtering with Applications to Image Restoration IEEE Trans. Pattern Analysis & Machine Intelligence (TPAMI) 2006, Vol. 28, Num. 3 , pp. 364376 Suyash P. Awate, Ross T. Whitaker HigherOrder Image Statistics for Unsupervised, InformationTheoretic, Adaptive Image Filtering IEEE Computer Vision & Pattern Recognition (CVPR), June 2005, vol 2, pp 4451 
T. Weissman, E. Ordentlich, G. Seroussi,
S. Verdu, and M. Weinberger Universal discrete denoising: Known channel IEEE Trans. Information Theory 2005, 51(1):528 DUDE and Extensions 
H. Robbins The empirical Bayes approach to statistical decision problems Annals of Mathematical Statistics 1964, 35(1):120 
H. Robbins An empirical Bayes approach to statistics In Proc. Third Berkeley Symp. Math. Stat. Prob. 1964, pp.157164 