Charles A Bouman
Charles A Bouman
Professor of Electrical and Computer Engineering, Purdue University
Verified email at - Homepage
Cited by
Cited by
A generalized Gaussian image model for edge-preserving MAP estimation
C Bouman, K Sauer
IEEE Transactions on image processing 2 (3), 296-310, 1993
A three‐dimensional statistical approach to improved image quality for multislice helical CT
JB Thibault, KD Sauer, CA Bouman, J Hsieh
Medical physics 34 (11), 4526-4544, 2007
A multiscale random field model for Bayesian image segmentation
CA Bouman, M Shapiro
IEEE Transactions on image processing 3 (2), 162-177, 1994
Color quantization of images
MT Orchard, CA Bouman
IEEE transactions on signal processing 39 (12), 2677-2690, 1991
A local update strategy for iterative reconstruction from projections
K Sauer, C Bouman
IEEE Transactions on Signal Processing 41 (2), 534-548, 1993
Multiple resolution segmentation of textured images
C Bouman, B Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence 13 (2), 99-113, 1991
A unified approach to statistical tomography using coordinate descent optimization
CA Bouman, K Sauer
IEEE Transactions on image processing 5 (3), 480-492, 1996
Plug-and-play priors for model based reconstruction
SV Venkatakrishnan, CA Bouman, B Wohlberg
2013 IEEE Global Conference on Signal and Information Processing, 945-948, 2013
Fluorescence optical diffusion tomography
AB Milstein, S Oh, KJ Webb, CA Bouman, Q Zhang, DA Boas, RP Millane
Applied Optics 42 (16), 3081-3094, 2003
Fast model-based X-ray CT reconstruction using spatially nonhomogeneous ICD optimization
Z Yu, JB Thibault, CA Bouman, KD Sauer, J Hsieh
IEEE Transactions on image processing 20 (1), 161-175, 2010
Direct reconstruction of kinetic parameter images from dynamic PET data
ME Kamasak, CA Bouman, ED Morris, K Sauer
IEEE transactions on medical imaging 24 (5), 636-650, 2005
Cluster: An unsupervised algorithm for modeling Gaussian mixtures
CA Bouman, M Shapiro, GW Cook, CB Atkins, H Cheng
Optimal image scaling using pixel classification
CB Atkins, CA Bouman, JP Allebach
Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001
ML parameter estimation for Markov random fields with applications to Bayesian tomography
SS Saquib, CA Bouman, K Sauer
IEEE transactions on Image Processing 7 (7), 1029-1044, 1998
Perceptual image similarity experiments
BE Rogowitz, T Frese, JR Smith, CA Bouman, EB Kalin
Human Vision and Electronic Imaging III 3299, 576-590, 1998
Hierarchical browsing and search of large image databases
JY Chen, CA Bouman, JC Dalton
IEEE transactions on Image Processing 9 (3), 442-455, 2000
Plug-and-play priors for bright field electron tomography and sparse interpolation
S Sreehari, SV Venkatakrishnan, B Wohlberg, GT Buzzard, LF Drummy, ...
IEEE Transactions on Computational Imaging 2 (4), 408-423, 2016
Optimized error diffusion for image display
BW Kolpatzik, CA Bouman
Journal of Electronic Imaging 1 (3), 277-292, 1992
Multiscale Bayesian segmentation using a trainable context model
H Cheng, CA Bouman
IEEE Transactions on Image Processing 10 (4), 511-525, 2001
Optical diffusion tomography by iterative-coordinate-descent optimization in a Bayesian framework
JC Ye, KJ Webb, CA Bouman, RP Millane
JOSA A 16 (10), 2400-2412, 1999
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