Transform Learning

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Journal

Submitted Journal

  1. B. Wen, S. Ravishankar, and Y. Bresler, “VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising,” IEEE Trans. Image Process. (submitted).

Published Journal

  1. B. Wen, S. Ravishankar, and Y. Bresler, “FRIST — Flipping and Rotation Invariant Sparsifying Transform Learning and Applications,” Inverse Problems, vol. 33, no. 074007, 2017.
  2. 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.
  3. 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.
  4. 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.
  5. S. Ravishankar and Y. Bresler, “Online Sparsifying Transform Learning - Part II: Convergence Analysis,” IEEE Journal of Selected Topics in Signal Process., 2015.
  6. S. Ravishankar, B. Wen, and Y. Bresler, “Online Sparsifying Transform Learning - Part I: Algorithms,” IEEE Journal of Selected Topics in Signal Process., 2015.
  7. B. Wen, S. Ravishankar, and Y. Bresler, “Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications,” International Journal of Computer Vision, 2014.
  8. S. Ravishankar and Y. Bresler, “Learning Doubly Sparse Transforms for Images,” IEEE Trans. Image Process., vol. 22, no. 12, 2013.
  9. S. Ravishankar and Y. Bresler, “Learning Sparsifying Transforms,” IEEE Trans. Signal Process., vol. 61, no. 5, 2013.

Conference

Submitted Conference

Accepted Conference

  1. 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.
  2. 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.
  3. 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.
  4. B. Wen, S. Ravishankar, and Y. Bresler, “Learning Flipping and Rotation Invariant Sparsifying Transforms,” in Proc. IEEE International Conference on Image Processing (ICIP), 2016.
  5. L. Pfister and Y. Bresler, “Learning Sparsifying Filter Banks,” in Proc. SPIE Wavelets & Sparsity XVI, 2015.
  6. 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.
  7. S. Ravishankar and Y. Bresler, “Blind Compressed Sensing Using Sparsifying Transforms,” in Proc. International Conference on Sampling Theory and Applications (SampTA), 2015.
  8. B. Wen, S. Ravishankar, and Y. Bresler, “Video Denoising by Online 3D Sparsifying Transform Learning,” in IEEE Int. Conf. Image Process., 2015.
  9. L. Pfister and Y. Bresler, “Model-based iterative tomographic reconstruction with adaptive sparsifying transforms,” in Proc. SPIE Computational Imaging XII, 2014.
  10. L. Pfister and Y. Bresler, “Tomographic reconstruction with adaptive sparsifying transforms,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014.
  11. L. Pfister and Y. Bresler, “Adaptive Sparsifying Transforms for Iterative Tomographic Reconstruction,” in International Conference on Image Formation in X-Ray Computed Tomography, 2014.
  12. S. Ravishankar and Y. Bresler, “Efficient Sparsifying Transform Learning and its Applications,” in Gordon Research Conference on Image Science, Easton, MA, 2014.
  13. B. Wen, S. Ravishankar, and Y. Bresler, “Learning overcomplete sparsifying transforms with block cosparsity,” in Proc. IEEE International Conference on Image Processing (ICIP), 2014.
  14. S. Ravishankar and Y. Bresler, “Doubly sparse transform learning with convergence guarantees,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
  15. 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.
  16. 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.
  17. S. Ravishankar and Y. Bresler, “Learning Overcomplete Signal Sparsifying Transforms,” in Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Lausanne, Switzerland, 2013.
  18. S. Ravishankar and Y. Bresler, “Sparsifying transform learning for Compressed Sensing MRI,” in Proc. IEEE Int. Symp. Biomed. Imag., 2013.
  19. S. Ravishankar and Y. Bresler, “Closed-form solutions within sparsifying transform learning,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
  20. S. Ravishankar and Y. Bresler, “Learning overcomplete sparsifying transforms for signal processing,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
  21. S. Ravishankar and Y. Bresler, “Learning Doubly Sparse Transforms for Image Representation,” in IEEE Int. Conf. Image Process., 2012.
  22. S. Ravishankar and Y. Bresler, “Learning Sparsifying Transforms for Image Processing,” in IEEE Int. Conf. Image Process., 2012.
  23. S. Ravishankar and Y. Bresler, “Learning Sparsifying Transforms for Signal and Image Processing,” in SIAM Conference on Imaging Science, 2012.

Theses

PhD

  1. S. Ravishankar, “Adaptive Sparse Representations and Their Applications,” PhD thesis, University of Illinois at Urbana-Champaign, 2014.

Masters

  1. B. Wen, “Transform Learning Based Image and Video Processing,” Master's thesis, University of Illinois at Urbana-Champaign, 2015.
  2. L. Pfister, “Tomographic Reconstruction with Adaptive Sparsifying Transforms,” Master's thesis, University of Illinois at Urbana-Champaign, 2013.
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