Maximum likelihood restoration and choice of smoothing parameter in deconvolution of image data subject to Poisson noise

[1]  F. O’Sullivan,et al.  Bandwidth Selection for Indirect Density Estimation Based on Corrupted Histogram Data , 1996 .

[2]  H. Hudson,et al.  Fisher's method of scoring in statistical image reconstruction: comparison of Jacobi and Gauss-Seidel iterative schemes , 1994, Statistical methods in medical research.

[3]  B. Silverman,et al.  Nonparametric regression and generalized linear models , 1994 .

[4]  Valen E. Johnson,et al.  A note on stopping rules in EM-ML reconstructions of ECT images , 1994, IEEE Trans. Medical Imaging.

[5]  J. Besag,et al.  Spatial Statistics and Bayesian Computation , 1993 .

[6]  Finbarr O'Sullivan,et al.  Data-dependent bandwidth selection for emission computed tomography reconstruction , 1993, IEEE Trans. Medical Imaging.

[7]  Nikolas P. Galatsanos,et al.  Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation , 1992, IEEE Trans. Image Process..

[8]  Russell M. Mersereau,et al.  Blur identification by the method of generalized cross-validation , 1992, IEEE Trans. Image Process..

[9]  Inge Koch,et al.  On the feasibility of cross-validation in image analysis , 1992 .

[10]  D. M. Titterington,et al.  A Study of Methods of Choosing the Smoothing Parameter in Image Restoration by Regularization , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  K. Coakley A cross-validation procedure for stopping the EM algorithm and deconvolution of neutron depth profiling spectra , 1991 .

[12]  Related Topics,et al.  Nonparametric functional estimation and related topics , 1991 .

[13]  Jim Kay,et al.  SMOOTHING PARAMETER SELECTION IN IMAGE RESTORATION , 1991 .

[14]  M. A. Wincek,et al.  Applied Statistical Time Series Analysis , 1990 .

[15]  Kenneth M. Hanson,et al.  Method of evaluating image-recovery algorithms based on task performance , 1990 .

[16]  P. Green On Use of the EM Algorithm for Penalized Likelihood Estimation , 1990 .

[17]  M. Miller,et al.  An evaluation of maximum likelihood reconstruction for SPECT. , 1990, IEEE transactions on medical imaging.

[18]  J. D. Wilson,et al.  A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography , 1990 .

[19]  P. Green Bayesian reconstructions from emission tomography data using a modified EM algorithm. , 1990, IEEE transactions on medical imaging.

[20]  T. Hebert,et al.  A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors. , 1989, IEEE transactions on medical imaging.

[21]  D. Girard Optimal Regularized Reconstruction in Computerized Tomography , 1987 .

[22]  P. Hall On the processing of a motion-blurred image , 1987 .

[23]  Stuart Geman,et al.  Statistical methods for tomographic image reconstruction , 1987 .

[24]  P. Hall,et al.  Common Structure of Techniques for Choosing Smoothing Parameters in Regression Problems , 1987 .

[25]  R. Carroll,et al.  Deconvolving kernel density estimators , 1987 .

[26]  J. Besag On the Statistical Analysis of Dirty Pictures , 1986 .

[27]  J. Rice Choice of smoothing parameter in deconvolution problems , 1986 .

[28]  Tomaso Poggio,et al.  Computational vision and regularization theory , 1985, Nature.

[29]  D. Titterington Common structure of smoothing techniques in statistics , 1985 .

[30]  Kimberlee J. Kearfott A Statistical Model for Positron Emission Tomography: Comment , 1985 .

[31]  L. Shepp,et al.  A Statistical Model for Positron Emission Tomography , 1985 .

[32]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  P. Green Iteratively reweighted least squares for maximum likelihood estimation , 1984 .

[34]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[35]  H. Hudson A Natural Identity for Exponential Families with Applications in Multiparameter Estimation , 1978 .

[36]  R. G. Krutchkoff,et al.  Empirical Bayes Estimation , 1972 .