Transform Learning
Journal
Submitted Journal
- B. Wen, S. Ravishankar, and Y. Bresler, “VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising,” IEEE Trans. Image Process. (submitted).
Published Journal
- B. Wen, S. Ravishankar, and Y. Bresler, “FRIST — Flipping and Rotation Invariant Sparsifying Transform Learning and Applications,” Inverse Problems, vol. 33, no. 074007, 2017.
- S. Ravishankar and Y. Bresler, “Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing,” IEEE Transactions on Computational Imaging, vol. 2, no. 3, 2016.
- S. Ravishankar and Y. Bresler, “\ell_0 Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees,” IEEE Trans. Signal Process., vol. 63, no. 9, May 2015.
- S. Ravishankar and Y. Bresler, “Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging,” SIAM Journal on Imaging Sciences, vol. 8, no. 4, 2015.
- S. Ravishankar and Y. Bresler, “Online Sparsifying Transform Learning - Part II: Convergence Analysis,” IEEE Journal of Selected Topics in Signal Process., 2015.
- S. Ravishankar, B. Wen, and Y. Bresler, “Online Sparsifying Transform Learning - Part I: Algorithms,” IEEE Journal of Selected Topics in Signal Process., 2015.
- B. Wen, S. Ravishankar, and Y. Bresler, “Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications,” International Journal of Computer Vision, 2014.
- S. Ravishankar and Y. Bresler, “Learning Doubly Sparse Transforms for Images,” IEEE Trans. Image Process., vol. 22, no. 12, 2013.
- S. Ravishankar and Y. Bresler, “Learning Sparsifying Transforms,” IEEE Trans. Signal Process., vol. 61, no. 5, 2013.
Conference
Submitted Conference
Accepted Conference
- B. Wen, Y. Li, and Y. Bresler, “When Sparsity Meets Low-Rankness: Transform Learning With Non-Local Low-Rank Constraint for Image Restoration,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
- B. Wen, Y. Li, L. Pfister, and Y. Bresler, “Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising,” in Proc. IEEE International Conference on Computer Vision (ICCV), 2017.
- 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.
- B. Wen, S. Ravishankar, and Y. Bresler, “Learning Flipping and Rotation Invariant Sparsifying Transforms,” in Proc. IEEE International Conference on Image Processing (ICIP), 2016.
- L. Pfister and Y. Bresler, “Learning Sparsifying Filter Banks,” in Proc. SPIE Wavelets & Sparsity XVI, 2015.
- S. Ravishankar and Y. Bresler, “Data-driven adaptation of a union of sparsifying transforms for blind compressed sensing MRI reconstruction,” in Proc. SPIE, 2015, vol. 9597.
- S. Ravishankar and Y. Bresler, “Blind Compressed Sensing Using Sparsifying Transforms,” in Proc. International Conference on Sampling Theory and Applications (SampTA), 2015.
- B. Wen, S. Ravishankar, and Y. Bresler, “Video Denoising by Online 3D Sparsifying Transform Learning,” in IEEE Int. Conf. Image Process., 2015.
- L. Pfister and Y. Bresler, “Model-based iterative tomographic reconstruction with adaptive sparsifying transforms,” in Proc. SPIE Computational Imaging XII, 2014.
- L. Pfister and Y. Bresler, “Tomographic reconstruction with adaptive sparsifying transforms,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014.
- L. Pfister and Y. Bresler, “Adaptive Sparsifying Transforms for Iterative Tomographic Reconstruction,” in International Conference on Image Formation in X-Ray Computed Tomography, 2014.
- S. Ravishankar and Y. Bresler, “Efficient Sparsifying Transform Learning and its Applications,” in Gordon Research Conference on Image Science, Easton, MA, 2014.
- B. Wen, S. Ravishankar, and Y. Bresler, “Learning overcomplete sparsifying transforms with block cosparsity,” in Proc. IEEE International Conference on Image Processing (ICIP), 2014.
- S. Ravishankar and Y. Bresler, “Doubly sparse transform learning with convergence guarantees,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
- S. Ravishankar, B. Wen, and Y. Bresler, “Online Sparsifying Transform Learning for Signal Processing,” in IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014.
- S. Ravishankar and Y. Bresler, “Closed-Form Optimal Updates In Transform Learning,” in Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Lausanne, Switzerland, 2013.
- S. Ravishankar and Y. Bresler, “Learning Overcomplete Signal Sparsifying Transforms,” in Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Lausanne, Switzerland, 2013.
- S. Ravishankar and Y. Bresler, “Sparsifying transform learning for Compressed Sensing MRI,” in Proc. IEEE Int. Symp. Biomed. Imag., 2013.
- S. Ravishankar and Y. Bresler, “Closed-form solutions within sparsifying transform learning,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
- S. Ravishankar and Y. Bresler, “Learning overcomplete sparsifying transforms for signal processing,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
- S. Ravishankar and Y. Bresler, “Learning Doubly Sparse Transforms for Image Representation,” in IEEE Int. Conf. Image Process., 2012.
- S. Ravishankar and Y. Bresler, “Learning Sparsifying Transforms for Image Processing,” in IEEE Int. Conf. Image Process., 2012.
- S. Ravishankar and Y. Bresler, “Learning Sparsifying Transforms for Signal and Image Processing,” in SIAM Conference on Imaging Science, 2012.
Theses
PhD
- S. Ravishankar, “Adaptive Sparse Representations and Their Applications,” PhD thesis, University of Illinois at Urbana-Champaign, 2014.
Masters
- B. Wen, “Transform Learning Based Image and Video Processing,” Master's thesis, University of Illinois at Urbana-Champaign, 2015.
- L. Pfister, “Tomographic Reconstruction with Adaptive Sparsifying Transforms,” Master's thesis, University of Illinois at Urbana-Champaign, 2013.