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Semantic ScholarCharles A. Bouman
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- affiliation: Purdue University, West Lafayette, School of Electrical Electrical and Computer Engineering
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2010 – today
- 2019
[j76]Hani Almansouri
, Singanallur V. Venkatakrishnan, Charles A. Bouman, Hector J. Santos-Villalobos:
Model-Based Iterative Reconstruction for One-Sided Ultrasonic Nondestructive Evaluation. IEEE Trans. Computational Imaging 5(1): 150-164 (2019)- [j75]Amirkoushyar Ziabari, Jeffrey M. Rickman, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman:
Physics-Based Regularizer for Joint Soft Segmentation and Reconstruction of Electron Microscopy Images of Polycrystalline Microstructures. IEEE Trans. Computational Imaging 5(4): 660-674 (2019) - [j74]Zhiqian Chang, Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Trans. Med. Imaging 38(6): 1532-1542 (2019) - [c147]Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
4D X-Ray CT Reconstruction using Multi-Slice Fusion. ICCP 2019: 1-8 - [c146]Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Dilworth Parkinson, Gregery T. Buzzard, Samuel P. Midkiff, Charles A. Bouman, Simon K. Warfield:
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. SC 2019: 86:1-86:23 - [i11]Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter:
Plug and play methods for magnetic resonance imaging. CoRR abs/1903.08616 (2019) - [i10]Soumendu Majee, Thilo Balke, Craig A. J. Kemp, Gregery T. Buzzard, Charles A. Bouman:
4D X-Ray CT Reconstruction using Multi-Slice Fusion. CoRR abs/1906.06601 (2019) - 2018
- [j73]Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari, Charles A. Bouman:
Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium. SIAM J. Imaging Sciences 11(3): 2001-2020 (2018) - [j72]G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman:
A Framework for Dynamic Image Sampling Based on Supervised Learning. IEEE Trans. Computational Imaging 4(1): 1-16 (2018) - [j71]K. Aditya Mohan, Prabhat KC, Charudatta Phatak, Marc De Graef, Charles A. Bouman:
Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography. IEEE Trans. Computational Imaging 4(3): 432-446 (2018) - [c145]Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman:
2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation. ACSSC 2018: 2044-2049 - [c144]Hani Almansouri, Singanallur V. Venkatakrishnan, Dwight Clayton, Yarom Polsky, Charles A. Bouman, Hector J. Santos-Villalobos:
Ultrasonic Model-Based Iterative Reconstruction with Spatially Variant Regularization for One-Sided Non-Destructive Evaluation. Computational Imaging 2018 - [c143]Thilo Balke, Soumendu Majee, Gregery T. Buzzard, Scott Poveromo, Patrick Howard, Michael A. Groeber, John McClure, Charles A. Bouman:
Separable Models for cone-beam MBIR Reconstruction. Computational Imaging 2018 - [c142]Venkatesh Sridhar, Gregery T. Buzzard, Charles A. Bouman:
Distributed Framework for Fast Iterative CT Reconstruction from View-subsets. Computational Imaging 2018 - [c141]Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine B. Gulsoy, Charles A. Bouman, Charudatta Phatak:
SLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks. Computational Imaging 2018 - [c140]Shijie Zhang, Zhengtian Song, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Atanu Sengupta, Gregery T. Buzzard, Charles A. Bouman, Garth J. Simpson:
A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging. Computational Imaging 2018 - [c139]Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman:
Deep Back Projection for Sparse-View CT Reconstruction. GlobalSIP 2018: 1-5 - [c138]Hani Almansouri, S. V. Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman, Hector J. Santos-Villalobos:
Deep Neural Networks for Non-Linear Model-Based Ultrasound Reconstruction. GlobalSIP 2018: 6-10 - [c137]Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework. ICASSP 2018: 6668-6672 - [c136]Zeeshan Nadir, Charles A. Bouman, Kristin M. Rice, Michael S. Brown:
A Hybrid Prior Model for Tunable Diode Laser Absorption Tomography. ICIP 2018: 1188-1192 - [e19]Charles A. Bouman, Robert L. Stevenson:
Computational Imaging XVI, Burlingame, California, USA, 28 January 2018 - 1 February 2018. Ingenta 2018 [contents] - [i9]Dong Hye Ye, Gregery T. Buzzard, Max Ruby, Charles A. Bouman:
Deep Back Projection for Sparse-View CT Reconstruction. CoRR abs/1807.02370 (2018) - 2017
- [j70]Zeeshan Nadir, Michael S. Brown, Mary L. Comer, Charles A. Bouman:
A Model-Based Iterative Reconstruction Approach to Tunable Diode Laser Absorption Tomography. IEEE Trans. Computational Imaging 3(4): 876-890 (2017) - [j69]Casey J. Pellizzari, Russell E. Trahan, Hanying Zhou, Skip Williams, Stacie E. Williams, Bijan Nemati, Michael Shao, Charles A. Bouman:
Synthetic Aperature LADAR: A Model-Based Approach. IEEE Trans. Computational Imaging 3(4): 901-916 (2017) - [j68]Zhiqian Chang, Ruoqiao Zhang, Jean-Baptiste Thibault, Debashish Pal, Lin Fu, Ken D. Sauer, Charles A. Bouman:
Modeling and Pre-Treatment of Photon-Starved CT Data for Iterative Reconstruction. IEEE Trans. Med. Imaging 36(1): 277-287 (2017) - [c135]Amirkoushyar Ziabari, Jeffrey M. Rickman, Jeffrey P. Simmons, Charles A. Bouman:
Physics based modeling for the development of soft segmentation and reconstruction algorithms. ACSSC 2017: 1875-1880 - [c134]Nicole M. Scarborough, G. M. Dilshan P. Godaliyadda, Dong Hye Ye, David J. Kissick, Shijie Zhang, Justin A. Newman, Michael J. Sheedlo, Azhad Chowdhury, Robert F. Fischetti, Chittaranjan Das, Gregery T. Buzzard, Charles A. Bouman, Garth J. Simpson:
Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering. Computational Imaging 2017: 6-9 - [c133]Soumendu Majee, Dong Hye Ye, Gregery T. Buzzard, Charles A. Bouman:
A Model Based Neuron Detection Approach using Sparse Location Priors. Computational Imaging 2017: 10-17 - [c132]Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman:
Model-Based Iterative Restoration for Binary Document Image Compression with Dictionary Learning. CVPR 2017: 606-615 - [c131]Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman:
Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy. CVPR Workshops 2017: 1084-1092 - [c130]Amit Sabne, Xiao Wang, Sherman J. Kisner, Charles A. Bouman, Anand Raghunathan, Samuel P. Midkiff:
Model-based Iterative CT Image Reconstruction on GPUs. PPOPP 2017: 207-220 - [c129]Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff:
Massively parallel 3D image reconstruction. SC 2017: 3:1-3:12 - [e18]Charles A. Bouman, Robert L. Stevenson:
Computational Imaging XV, Burlingame, California, USA, 29 January 2017 - 2 February 2017. Ingenta 2017 [contents] - [i8]G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman:
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS). CoRR abs/1703.04653 (2017) - [i7]Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman:
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning. CoRR abs/1704.07019 (2017) - [i6]Gregery T. Buzzard, Suhas Sreehari, Charles A. Bouman:
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium. CoRR abs/1705.08983 (2017) - [i5]Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine B. Gulsoy, Charles A. Bouman, Charudatta Phatak:
Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling. CoRR abs/1707.03848 (2017) - [i4]Casey J. Pellizzari, Mark F. Spencer, Charles A. Bouman:
Phase-error estimation and image reconstruction from digital-holography data using a Bayesian framework. CoRR abs/1708.01142 (2017) - 2016
- [j67]Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT. IEEE Trans. Computational Imaging 2(3): 359-374 (2016) - [j66]Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Gregery T. Buzzard, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman:
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. IEEE Trans. Computational Imaging 2(4): 408-423 (2016) - [j65]Junshi Liu, Swagath Venkataramani, Singanallur V. Venkatakrishnan, Yun Pan, Charles A. Bouman, Anand Raghunathan:
EMBIRA: An Accelerator for Model-Based Iterative Reconstruction. IEEE Trans. VLSI Syst. 24(11): 3243-3256 (2016) - [c128]G. M. Dilshan Godaliyadda, Dong Hye Ye, Michael D. Uchic, Michael A. Groeber, Gregery T. Buzzard, Charles A. Bouman:
A Supervised Learning Approach for Dynamic Sampling. Computational Imaging 2016: 1-8 - [c127]Dennis J. Lee, Charles A. Bouman, Andrew M. Weiner:
Single Shot Digital Holography Using Iterative Reconstruction with Alternating Updates of Amplitude and Phase. Computational Imaging 2016: 1-6 - [c126]Xiao Wang, K. Aditya Mohan, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff:
Fast voxel line update for time-space image reconstruction. ICASSP 2016: 1209-1213 - [c125]K. Aditya Mohan, Xianghui Xiao, Charles A. Bouman:
Direct model-based tomographic reconstruction of the complex refractive index. ICIP 2016: 1754-1758 - [c124]Muhammad Usman Sadiq, Jeff P. Simmons, Charles A. Bouman:
Model based image reconstruction with physics based priors. ICIP 2016: 3176-3179 - [c123]Jing Li, Dong Hye Ye, Timothy H. Chung, Mathias Kölsch, Juan Pablo Wachs, Charles A. Bouman:
Multi-target detection and tracking from a single camera in Unmanned Aerial Vehicles (UAVs). IROS 2016: 4992-4997 - [c122]Xiao Wang, Amit Sabne, Sherman J. Kisner, Anand Raghunathan, Charles A. Bouman, Samuel P. Midkiff:
High performance model based image reconstruction. PPOPP 2016: 2:1-2:12 - [e17]Charles A. Bouman, Ken D. Sauer:
Computational Imaging XIV, San Francisco, California, USA, February 14-18, 2016. Ingenta 2016 [contents] - [i3]Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT. CoRR abs/1605.04006 (2016) - [i2]Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman:
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy. CoRR abs/1612.00874 (2016) - 2015
- [j64]S. V. Venkatakrishnan, Lawrence F. Drummy, Michael A. Jackson, Marc De Graef, Jeff P. Simmons, Charles A. Bouman:
Model-Based Iterative Reconstruction for Bright-Field Electron Tomography. IEEE Trans. Computational Imaging 1(1): 1-15 (2015) - [j63]K. Aditya Mohan, S. V. Venkatakrishnan, John W. Gibbs, E. Begum Gulsoy, Xianghui Xiao, Marc De Graef, Peter W. Voorhees, Charles A. Bouman:
TIMBIR: A Method for Time-Space Reconstruction From Interlaced Views. IEEE Trans. Computational Imaging 1(2): 96-111 (2015) - [j62]Pengchong Jin, Charles A. Bouman, Ken D. Sauer:
A Model-Based Image Reconstruction Algorithm With Simultaneous Beam Hardening Correction for X-Ray CT. IEEE Trans. Computational Imaging 1(3): 200-216 (2015) - [j61]Leonardo R. Bachega, Srikanth Hariharan, Charles A. Bouman, Ness B. Shroff:
Distributed Signal Decorrelation and Detection in Multi View Camera Networks Using the Vector Sparse Matrix Transform. IEEE Trans. Image Processing 24(12): 6011-6024 (2015) - [c121]Suhas Sreehari, S. V. Venkatakrishnan, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman:
Advanced prior modeling for 3D bright field electron tomography. Computational Imaging 2015: 940108 - [c120]Yandong Guo, Yufang Sun, Peter Bauer, Jan P. Allebach, Charles A. Bouman:
Text line detection based on cost optimized local text line direction estimation. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2015: 939507 - [c119]Zeeshan Nadir, Michael S. Brown, Mary L. Comer, Charles A. Bouman:
Gaussian mixture prior models for imaging of flow cross sections from sparse hyperspectral measurements. GlobalSIP 2015: 527-531 - [c118]K. Aditya Mohan, S. V. Venkatakrishnan, John W. Gibbs, E. Begum Gulsoy, Xianghui Xiao, Marc De Graef, Peter W. Voorhees, Charles A. Bouman:
4D model-based iterative reconstruction from interlaced views. ICASSP 2015: 783-787 - [c117]Suhas Sreehari, S. V. Venkatakrishnan, Lawrence F. Drummy, Jeff P. Simmons, Charles A. Bouman:
Rotationally-invariant non-local means for image denoising and tomography. ICIP 2015: 542-546 - [c116]Pengchong Jin, Dong Hye Ye, Charles A. Bouman:
Joint metal artifact reduction and segmentation of CT images using dictionary-based image prior and continuous-relaxed potts model. ICIP 2015: 798-802 - [e16]Charles A. Bouman, Ken D. Sauer:
Computational Imaging XIII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 10-11, 2015, Proceedings. SPIE Proceedings 9401, IS&T/SPIE 2015, ISBN 978-1-6284-1491-2 [contents] - [i1]Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman:
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. CoRR abs/1512.07331 (2015) - 2014
- [j60]Jianing Wei, Charles A. Bouman, Jan P. Allebach:
Fast Space-Varying Convolution Using Matrix Source Coding With Applications to Camera Stray Light Reduction. IEEE Trans. Image Processing 23(5): 1965-1979 (2014) - [j59]Ruoqiao Zhang, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh:
Model-Based Iterative Reconstruction for Dual-Energy X-Ray CT Using a Joint Quadratic Likelihood Model. IEEE Trans. Med. Imaging 33(1): 117-134 (2014) - [j58]Mustafa E. Kamasak, Bradley T. Christian, Charles A. Bouman, Evan D. Morris:
Quality and Precision of Parametric Images Created From PET Sinogram Data by Direct Reconstruction: Proof of Concept. IEEE Trans. Med. Imaging 33(3): 695-707 (2014) - [c115]Zhiqian Chang, Ruoqiao Zhang, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Statistical x-ray computed tomography imaging from photon-starved measurements. Computational Imaging 2014: 90200G - [c114]G. M. Dilshan Godaliyadda, Gregery T. Buzzard, Charles A. Bouman:
A model-based framework for fast dynamic image sampling. ICASSP 2014: 1822-1826 - [c113]Leonardo R. Bachega, Charles A. Bouman:
Distributed vector decorrelation and anomaly detection using the vector Sparse Matrix Transform. ICASSP 2014: 3410-3414 - [c112]K. Aditya Mohan, S. V. Venkatakrishnan, Lawrence F. Drummy, Jeff P. Simmons, Dilworth Y. Parkinson, Charles A. Bouman:
Model-based iterative reconstruction for synchrotron X-ray tomography. ICASSP 2014: 6909-6913 - [c111]Zeeshan Nadir, Michael S. Brown, Mary L. Comer, Charles A. Bouman:
Tomographic reconstruction of flowing gases using sparse training. ICIP 2014: 1733-1737 - [e15]Charles A. Bouman, Ken D. Sauer:
Computational Imaging XII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 2, 2014, Proceedings. SPIE Proceedings 9020, IS&T/SPIE 2014, ISBN 978-0-8194-9937-0 [contents] - 2013
- [j57]Tak-Shing Wong, Charles A. Bouman, Ilya Pollak:
Image Enhancement Using the Hypothesis Selection Filter: Theory and Application to JPEG Decoding. IEEE Trans. Image Processing 22(3): 898-913 (2013) - [j56]S. V. Venkatakrishnan, Lawrence F. Drummy, Michael A. Jackson, Marc De Graef, Jeff P. Simmons, Charles A. Bouman:
A Model Based Iterative Reconstruction Algorithm For High Angle Annular Dark Field-Scanning Transmission Electron Microscope (HAADF-STEM) Tomography. IEEE Trans. Image Processing 22(11): 4532-4544 (2013) - [c110]Singanallur V. Venkatakrishnan, Lawrence F. Drummy, Marc De Graef, Jeff P. Simmons, Charles A. Bouman:
Model based iterative reconstruction for Bright Field electron tomography. Computational Imaging 2013: 86570A - [c109]Ruoqiao Zhang, Aaron Chang, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Statistical modeling challenges in model-based reconstruction for x-ray CT. Computational Imaging 2013: 86570S - [c108]Yandong Guo, Dejan Depalov, Peter Bauer, Brent M. Bradburn, Jan P. Allebach, Charles A. Bouman:
Binary image compression using conditional entropy-based dictionary design and indexing. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2013: 865208 - [c107]Charles A. Bouman, Robert D. Nowak, Anna Scaglione:
Technical program overview. GlobalSIP 2013 - [c106]Singanallur V. Venkatakrishnan, Charles A. Bouman, Brendt Wohlberg:
Plug-and-Play priors for model based reconstruction. GlobalSIP 2013: 945-948 - [c105]Ruoqiao Zhang, Charles A. Bouman, Jean-Baptiste Thibault, Ken D. Sauer:
Gaussian mixture Markov random field for image denoising and reconstruction. GlobalSIP 2013: 1089-1092 - [c104]Yandong Guo, Dejan Depalov, Peter Bauer, Brent M. Bradburn, Jan P. Allebach, Charles A. Bouman:
Dynamic hierarchical dictionary design for multi-page binary document image compression. ICIP 2013: 2294-2298 - [c103]Haitao Xue, Charles A. Bouman, Peter Bauer, Dejan Depalov, Brent M. Bradburn, Jan P. Allebach:
Document image binarization via one-pass local classification. ICIP 2013: 2299-2303 - [e14]Charles A. Bouman, Ilya Pollak, Patrick J. Wolfe:
Computational Imaging XI, part of the IS&T-SPIE Electronic Imaging Symposium, Burlingame, California, USA, February 5-7, 2013, Proceedings. SPIE Proceedings 8657, IS&T/SPIE 2013, ISBN 978-0-8194-9430-6 [contents] - 2012
- [c102]Pengchong Jin, Eri Haneda, Charles A. Bouman:
Implicit Gibbs prior models for tomographic reconstruction. ACSCC 2012: 613-616 - [c101]Hengzhou Ding, Raja Bala, Zhigang Fan, Charles A. Bouman, Jan P. Allebach:
Text replacement on cylindrical surfaces: a semi-automatic approach. Computational Imaging 2012: 82960X - [c100]Sherman J. Kisner, Eri Haneda, Charles A. Bouman, Sondre Skatter, Mikhail Kourinny, Simon Bedford:
Limited view angle iterative CT reconstruction. Computational Imaging 2012: 82960F - [c99]Haitao Xue, Peter Bauer, Dejan Depalov, Brent M. Bradburn, Jan P. Allebach, Charles A. Bouman:
A color quantization algorithm based on minimization of modified Lp norm error in a CIELAB space. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2012: 82920O - [c98]Eri Haneda, Charles A. Bouman:
Implicit priors for model-based inversion. ICASSP 2012: 3917-3920 - [c97]Animesh Khemka, Charles A. Bouman:
Image classification and interpolation. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 82950O - [c96]Jiao Wang, Ken D. Sauer, Jean-Baptiste Thibault, Zhou Yu, Charles A. Bouman:
Prediction coefficient estimation in Markov random fields for iterative X-ray CT reconstruction. Medical Imaging: Image Processing 2012: 831444 - [c95]Singanallur V. Venkatakrishnan, Lawrence F. Drummy, Michael A. Jackson, Marc De Graef, Jeff P. Simmons, Charles A. Bouman:
Bayesian tomographic reconstruction for high angle annular dark field (HAADF) scanning transmission electron microscopy (STEM). SSP 2012: 680-683 - [e13]Charles A. Bouman, Ilya Pollak, Patrick J. Wolfe:
Computational Imaging X, part of the IS&T-SPIE Electronic Imaging Symposium, Burlingame, California, USA, January 23-24, 2012, Proceedings. SPIE Proceedings 8296, IS&T/SPIE 2012, ISBN 978-0-8194-8943-2 [contents] - 2011
- [j55]James Theiler, Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman:
Sparse Matrix Transform for Hyperspectral Image Processing. J. Sel. Topics Signal Processing 5(3): 424-437 (2011) - [j54]Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh:
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization. IEEE Trans. Image Processing 20(1): 161-175 (2011) - [j53]Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman:
The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals. IEEE Trans. Image Processing 20(3): 625-640 (2011) - [j52]Eri Haneda, Charles A. Bouman:
Text Segmentation for MRC Document Compression. IEEE Trans. Image Processing 20(6): 1611-1626 (2011) - [c94]Leonardo R. Bachega, James Theiler, Charles A. Bouman:
Evaluating and improving local hyperspectral anomaly detectors. AIPR 2011: 1-8 - [c93]Zhou Yu, Jean-Baptiste Thibault, Jiao Wang, Charles A. Bouman, Ken D. Sauer:
Kinetic parameter reconstruction for motion compensation in transmission tomography. Computational Imaging 2011: 78730T - [c92]Tak-Shing Wong, Charles A. Bouman, Jean-Baptiste Thibault, Ken D. Sauer:
Medical image enhancement using resolution synthesis. Computational Imaging 2011: 787307 - [e12]Charles A. Bouman, Ilya Pollak, Patrick J. Wolfe:
Computational Imaging IX, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco Airport, California, USA, January 24-25, 2011, Proceedings. SPIE Proceedings 7873, IS&T/SPIE 2011, ISBN 978-0-8194-8410-9 [contents] - 2010
- [j51]Hasib Siddiqui, Mireille Boutin, Charles A. Bouman:
Hardware-Friendly Descreening. IEEE Trans. Image Processing 19(3): 746-757 (2010) - [c91]Hengzhou Ding, Raja Bala, Zhigang Fan, Reiner Eschbach, Charles A. Bouman, Jan P. Allebach:
Semi-automatic object geometry estimation for image personalization. Computational Imaging 2010: 753304 - [c90]Eri Haneda, Charles A. Bouman:
Multiscale segmentation for MRC document compression using a Markov random field model. ICASSP 2010: 1042-1045 - [c89]Guangzhi Cao, Yandong Guo, Charles A. Bouman:
High dimensional regression using the sparse matrix transform (SMT). ICASSP 2010: 1870-1873 - [c88]Leonardo R. Bachega, Guangzhi Cao, Charles A. Bouman:
Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform. ICASSP 2010: 5426-5429 - [c87]Leonardo R. Bachega, Charles A. Bouman:
Classification of high-dimensional data using the Sparse Matrix Transform. ICIP 2010: 265-268 - [c86]James Theiler, Guangzhi Cao, Charles A. Bouman:
Sparse matrix transform for fast projection to reduced dimension. IGARSS 2010: 4362-4365 - [e11]Charles A. Bouman, Ilya Pollak, Patrick J. Wolfe:
Computational Imaging VIII, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 18-19, 2010, Proceedings. SPIE Proceedings 7533, IS&T/SPIE 2010, ISBN 978-0-8194-7926-6 [contents]
2000 – 2009
- 2009
- [j50]Guangzhi Cao, Charles A. Bouman, Kevin J. Webb:
Noniterative MAP Reconstruction Using Sparse Matrix Representations. IEEE Trans. Image Processing 18(9): 2085-2099 (2009) - [j49]Tak-Shing Wong, Charles A. Bouman, Ilya Pollak, Zhigang Fan:
A Document Image Model and Estimation Algorithm for Optimized JPEG Decompression. IEEE Trans. Image Processing 18(11): 2518-2535 (2009) - [c85]Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan P. Allebach:
Fast space-varying convolution and its application in stray light reduction. Computational Imaging 2009: 72460 - [c84]Maribel Figuera, Peter Majewicz, Charles A. Bouman:
Hardware-friendly mixed content compression algorithm. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2009: 724114 - [c83]Guangzhi Cao, Charles A. Bouman, James Theiler:
Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation. WHISPERS 2009: 1-4 - [e10]Charles A. Bouman, Eric L. Miller, Ilya Pollak:
Computational Imaging VII, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 19-20, 2009, Proceedings. SPIE Proceedings 7246, SPIE 2009, ISBN 978-0-8194-7496-4 [contents] - 2008
- [j48]Xiaogang Dong, Kai-Lung Hua, Peter Majewicz, Gordon McNutt, Charles A. Bouman, Jan P. Allebach, Ilya Pollak:
Document page classification algorithms in low-end copy pipeline. J. Electronic Imaging 17(4): 043011 (2008) - [j47]Charles A. Bouman:
The Golden Age of Imaging. IEEE Trans. Image Processing 17(4): 441-442 (2008) - [j46]