Publications

Masters Thesis

  1. L. Pfister, “Tomographic Reconstruction with Adaptive Sparsifying Transforms,” Master's thesis, University of Illinois at Urbana-Champaign, 2013.
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Conference Papers

  1. L. Pfister and Y. Bresler, “Automatic parameter tuning for image denoising with learned sparsifying transforms,” in Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on, 2017.
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  2. L. Pfister, Y. Bresler, R. Bhargava, and P. S. Carney, “Inverse Scattering with Chemical Composition Constraints for Spectroscopic Tomography,” in Imaging and Applied Optics 2016, 2016.
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  3. L. Pfister, R. Bhargava, P. S. Carney, and Y. Bresler, “Mid-Infrared Spectroscopic Tomography,” Poster presented at the Gordon Research Conference on Image Science, 2016.
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  4. L. Pfister, R. Bhargava, P. S. Carney, and Y. Bresler, “Mid-Infrared Spectroscopic Tomography,” Paper presented at SIAM Conference on Imaging Science, 2016.
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  5. D. Stork, L. Pfister, M. Monjur, and P. R. Gill, “Designing application-specific optical gratings for computational diffractive sensing and imaging,” Paper presented at the meeting of SPIE Defense + Commercial Imaging, 2016.
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  6. L. Pfister and Y. Bresler, “Learning Sparsifying Filter Banks,” in Proc. SPIE Wavelets & Sparsity XVI, 2015, vol. 9597.
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  7. L. Pfister and Y. Bresler, “Tomographic reconstruction with adaptive sparsifying transforms,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014.
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  8. L. Pfister and Y. Bresler, “Model-based iterative tomographic reconstruction with adaptive sparsifying transforms,” in Proc. SPIE Computational Imaging XII, 2014.
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  9. L. Pfister and Y. Bresler, “Adaptive Sparsifying Transforms for Iterative Tomographic Reconstruction,” in International Conference on Image Formation in X-Ray Computed Tomography, 2014.
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