VIU Lab

2024

  1. M. Perera and V. M. Patel, “Unbiased-Diff: analyzing and mitigating biases in diffusion model-based face image generation,” EEE Transactions on Biometrics, Behavior, and Identity Science, accepted for publication, Dec. 2024.
  2. K. Mei, Z. Tu, M. Delbracio, H. Talebi, V. M. Patel, and P. Milanfar, “Bigger is not always better: scaling properties of latent diffusion models,” Transactions on Machine Learning Research, accepted for publication, Nov. 2024.
  3. T. Dai, J. M. Jose, Y. Zhao, S. Zheng, Y. Sun, V. M Patel, and S. M. Jordaan, “Land resources for wind energy development requires regionalized characterizations”, Environmental Science & Technology, vol. 58, no. 11, pp. 5014-5023, Mar. 2024.
  4. Y. Bai, M. Zhou, V. M. Patel, and S. Sojoudi, “MixedNUTS: Training-free accuracy-robustness balance via nonlinearly mixed classifiers”, Transactions on Machine Learning Research, accepted for publication, Aug. 2024.

2023

  1. P. Guo, Y. Mei, J. Zhou, S. Jiang, and V. M. Patel, “ReconFormer: Accelerated MRI reconstruction using recurrent transformer,” IEEE Transactions on Medical Imaging, accepted for publication, Sept. 2023.
  2. X. Hou, P. Guo, P. Wang, P. Liu, D. D. M. Lin, H. Fan, Y. Li, Z. Wei, Z. Lin, D. Jiang, J. Jin, C. Kelly, J. J. Pillai, J. Huang, M. C. Pinho, B. P. Thomas, B. G. Welch, D. C. Park, V. M. Patel, A. E. Hillis, and H. Lu, “Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI,” npj Digital Medicine, June 2023.
  3. M. V. Perera, N. G. Nair, W. G. C. Bandara, and V. M. Patel, “SAR despeckling using a denoising diffusion probabilistic model,” IEEE Geoscience and Remote Sensing Letters, accepted for publication, Mar. 2023.
  4. T. Dai, J. M. Jose, V. M. Patel, and S. M. Jordaan, “The life cycle land use of natural gas-fired electricity in the US western interconnection”, Environmental Science: Advances, accepted for publication, Mar. 2023.
  5. T. Bourlai, J. Rose, S. R. Mokalla, A. Zabin, L. Hornak, C. B. Nalty, N. Peri, J. Gleason, C. D. Castillo, V. M. Patel, and R. Chellappa, “Data and algorithms for end-to-end thermal spectrum face verification,” IEEE Transactions on Biometrics, Behavior, and Identity Science, accepted for publication, Jan. 2023.

2022

  1. P. Oza, V. A. Sindagi, V. VS, and V. M. Patel, “Unsupervised domain adaptation of object detectors: a survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication, Oct. 2022.
  2. S.-Y. Lo, P. Oza, and V. M. Patel, “Adversarially robust one-class novelty detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication, July 2022.
  3. R. Shao, P. Perera, P. C. Yuen, and V. M. Patel, “Federated generalized face presentation attack detection,” IEEE Transactions on Neural Networks and Learning Systems, accepted for publication, May 2022.
  4. R. Yasarla and V. M. Patel, “CNN-based restoration of a single face image degraded by atmospheric turbulence,”, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 4, no. 2, pp. 222-233, April 2022.
  5. R. Shao, P. Perera, P. C. Yuen, and V. M. Patel, “Open-set adversarial defense with clean-adversarial mutual learning”, International Journal of Computer Vision, vol. 130, pp. 1070-1087, 2022. (pdf)

2021

  1. S-Y Lo and V. M. Patel, “Defending against multiple and unforeseen adversarial videos,” IEEE Transactions on Image Processing, accepted for publication, Dec. 2021. (pdf)
  2. J. M. Jose, V. A. Sindagi, I. Hacihaliloglu, and V. M. Patel, “KiU-Net: overcomplete convolutional architectures for biomedical image and volumetric segmentation,” IEEE Transactions on Medical Imaging, accepted for publication, Dec. 2021. (pdf)
  3. W. G. C. Bandara, J. M. Jose, and V. M. Patel, “Hyperspectral pansharpening based on improved deep image prior and  residual reconstruction,” IEEE Transactions on Geoscience and Remote Sensing, accepted for publication, Dec. 2021. (pdf)
  4. R. Yasarla, V. A. Sindagi and V. M. Patel, “Semi-supervised image deraining using Gaussian processes,” IEEE Transactions on Image Processing, vol. 30, pp. 6570-6582, 2021. (pdf)
  5. X. Di and V. M. Patel, “Multimodal face synthesis from visual attributes,” IEEE Transactions on Biometrics, Behavior, and Identity Science, accepted for publication, May 2021. (pdf)
  6. X. Di, B. S. Riggan, S. Hu, N. J. Short and V. M. Patel, “Multi-scale thermal to visible face verification via attribute guided synthesis,” IEEE Transactions on Biometrics, Behavior, and Identity Science, accepted for publication, Feb. 2021. (pdf)
  7. R. Yasarla, J. M. J. Valanarasu and V. M. Patel, “Exploring overcomplete representations for single image deraining using CNNs,” IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 2, pp. 229-239, Feb. 2021. (pdf)
  8. P. Guo, P. Wang, R. Yasarla, J. Zhou, V. M. Patel, and S. Jiang, “Anatomic and molecular MR image synthesis using confidence guided CNNs” IEEE Transactions on Medical Imaging, accepted for publication, Dec. 2020. (pdf)

2020

  1. V. A. Sindagi, R. Yasarla and V. M. Patel, “JHU-CROWD++: large-scale crowd counting dataset and a benchmark method,” IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication, Oct. 2020. (pdf)
  2. A. Alsinan, V. M. Patel, and I. Hacihaliloglu, “Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN,” International Journal of Computer Assisted Radiology and Surgery, vol. 15, no. 9, pp. 1477-1485, Sept. 2020. (pdf)
  3. P. Wang, M. Vives, V. M. Patel and I. Hacihaliloglu, “Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor guided CNN,” International Journal of Computer Assisted Radiology and Surgery, vol 15, no. 7, pp. 1127-1135, July 2020. (pdf)
  4. R. Yasarla, F. Perazzi and V. M. Patel, “Deblurring face images using uncertainty guided multi-stream semantic networks,” IEEE Transactions on Image Processing, vol. 29, pp. 6251-6263, April 2020. (pdf)
  5. R. Yasarla and V. M. Patel, “Confidence measure guided single image de-raining,” IEEE Transactions on Image Processing, vol. 29, pp. 4544-4555, 2020. (pdf)
  6. X. Di and V. M. Patel, “Facial synthesis from visual attributes via sketch using multi-scale generators,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 1, pp. 55-67, Jan. 2020. (pdf)
  7. V. A. Sindagi and V. M. Patel, “HA-CCN: Hierarchical attention-based crowd counting network,” IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 323-335, Dec. 2020. (pdf)
  8. J. M. Jose, R. Yasarla, P. Wang, I. Hacihaliloglu, and  V. M. Patel, “Learning to segment brain anatomy from 2D ultrasound with less data,” IEEE Journal of Selected Topics in Signal Processing: Special Issue on Domain Enriched Learning for Medical Imaging, vol. 14, no. 6, pp. 1221-1234,  Oct. 2020. (pdf)
  9. T. Strat, R. Chellappa, and V. M. Patel, “Vision and robotics,” AI Magazine: Special Issue on DARPA’s Impact on AI, vol. 41, no. 2, pp. 49-65, 2020. (pdf)
  10. H. Zhang, V. A. Sindagi and V. M. Patel, “Joint transmission map estimation and dehazing using deep networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 1975-1986,  July 2020. (pdf)

2019

  1. H. Zhang, V. A. Sindagi and V. M. Patel, “Image de-raining using a conditional generative adversarial network,” IEEE Transactions on Circuits and Systems for Video Technology, accepted for publication, May 2019. (pdf)
  2. M. Abavisani and V. M. Patel, “Deep sparse representation-based classification,” IEEE Signal Processing Letters, vol. 26, no. 6, pp. 948-952, June 2019. (pdf)
  3. P. Perera and V. M. Patel, “Learning deep features for one-class classification,” IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5450-5463, Nov. 2019. (pdf)
  4. A. Z. Alsinan, V. M. Patel, and I. Hacihaliloglu, “Automatic segmentation of bone surfaces from ultrasound using a filter layer guided CNN,” International Journal of Computer Assisted Radiology and Surgery, vol. 14, no. 5, pp. 775-783, May 2019.
  5. E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez, F. Alonso-Fernandez, and V. M. Patel, “Exploring body texture from mmW images for person recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, no.2, pp. 139-151, Apr. 2019. (pdf)
  6. H. Zhang, B. S. Riggan, S. Hu, N. J. Short, and V. M. Patel, “Synthesis of high-quality visible faces from polarimetric thermal faces using generative adversarial networks,” International Journal of Computer Vision: Special Issue on Deep Learning for Face Analysis, accepted for publication, Jan. 2019. (pdf)
  7. P. Oza and V. M. Patel, “One-class convolutional neural network,” IEEE Signal Processing Letters, vol. 26, no.2, pp. 277-281, Feb. 2019.(pdf)
  8. P. Perera and V. M. Patel, “Face-based multiple user active authentication on mobile devices,” IEEE Transactions on Information Forensics and Security, vol. 14, no.5, pp. 1240-1250, May 2019. (pdf)
  9. S. Wang, V. M. Patel and A. Petropulu, “Multidimensional sparse Fourier transform based on the Fourier projection-slice theorem,” IEEE Transactions on Signal Processing, vol. 67, no. 1, pp. 54-69, Jan. 2019. (pdf)
  10. R. Ranjan, V. M. Patel, and R. Chellappa, “HyperFace: a deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 1, pp. 121-135, Jan. 2019. (pdf)

2018

  1. M. Abavisani and V. M. Patel, “Deep multimodal subspace clustering networks,” IEEE Journal of Selected Topics in Signal Processing: Special issue on Data Science: Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications, vol. 10, no.6, pp. 1601-1614, Dec. 2018. (pdf)
  2. H. Zhang and V. M. Patel, “Convolutional sparse and low-rank coding-based image decomposition”, IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2121 – 2133, May 2018.(pdf)
  3. R. Ranjan, S. Sankaranarayanan, A. Bansal, N. Bodla, J-C. Chen, V. M. Patel, C. D. Castillo and R. Chellappa, “Deep learning for understanding faces: machines may be just as good, or better, than humans”, IEEE Signal Processing Magazine: Special Issue on Deep Learning for Visual Understanding, vol. 35, no.1, pp. 66-83, Jan. 2018. (pdf)
  4. P. Perera and V. M. Patel, “Efficient and low latency detection of intruders in mobile active authentication”, IEEE Transactions on Information Forensics and Security, vol. 13, no. 6, pp. 1392-1405, June 2018. (pdf)
  5. V. A. Sindagi and V. M. Patel, “A survey of recent advances in CNN-based single image crowd counting and density estimation”,Pattern Recognition Letters, vol. 107, pp. 3-16, May 2018. (pdf)
  6.  C-H. Chen, V. M. Patel and R. Chellappa, “Learning from ambiguously labeled face images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 7, pp. 1653-1667, July 2018. (pdf)
  7. J-C. Chen, R. Ranjan, S. Sankaranarayanan, A. Kumar, C-H. Chen, V. M. Patel, C. D. Castillo, and R. Chellappa, “Unconstrained still/video-based face verification with deep convolutional neural networks”, International Journal of Computer Vision, vol. 126, no. 2-4, pp. 272-291, Apr. 2018. (pdf)
  8. M. Abavisani and V. M. Patel, “Multimodal sparse and low-rank subspace clustering”, Information Fusion, vol. 39, pp. 168-177, Jan. 2018. (pdf)

 

2017

  1. P. Wang, H. Zhang and V. M. Patel, “SAR image despeckling using a convolutional neural network”, IEEE Signal Processing Letters, vol. 24, no. 12, pp. 1763 – 1767, Dec. 2017. (pdf)
  2. S. Wang, V. M. Patel and A. Petropulu, “The robust sparse Fourier transform and its application in radar signal processing”, IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 6, pp. 2735-2755, Dec. 2017.  (pdf)
  3. H. Zhang, V. M. Patel, R. Chellappa, “Low-rank and joint sparse representations for multimodal recognition”, IEEE Transactions on Image Processing, vol. 26, no. 10, pp. 4741-4752, Oct. 2017. (pdf)
  4.  J. Chen, V. M. Patel, V. Kellokumpu, G. Zhao, M. Pietikäinen, and R. Chellappa, “Robust local features for remote face recognition”,Image and Vision Computing, vol. 64, pp. 34-46, 2017. (pdf)
  5. E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez and V. M. Patel, “Exploring body shape from mmW images for person recognition”,IEEE Transactions on Information Forensics and Security, vol. 12, no.9, pp. 2079-2089, Sept. 2017. (pdf)
  6. H. Zhang and V. M. Patel, “Sparse representation-based open set recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no.8, pp. 1690-1696, Aug. 2017. (pdf)
  7. A. Ghosh, M. A. Powers, and V. M. Patel, “Computational LADAR imaging”, Applied Optics, vol. 56, no. 3, pp. B191-B197, 2017. (link)
  8. X. Gibert-Serra, V. M. Patel, and R. Chellappa, “Deep multi-task learning for railway track inspection”, IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 1, pp. 153-164, Jan. 2017. (pdf)
  9. P. Samangouei, V. M. Patel, and R. Chellappa, “Facial attributes for active authentication on mobile devices”, Image and Vision Computing, vol. 58, pp. 181-192, Feb. 2017. (pdf)

 

2016

  1. V. M. Patel, J. N. Mait, D. W. Prather, and A. S. Hedden, “Computational millimeter wave imaging: problems, progress and prospects”, IEEE Signal Processing Magazine: Special Issue on Computational Photography and Displays, vol. 33, no. 5, pp. 109-118, Sept. 2016. (pdf)
  2. V. M. Patel, R. Chellappa, D. Chandra, and B. Barbello, “Continuous user authentication on mobile devices: recent progress and remaining challenges”, IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 49-61, July 2016. (pdf)

 

2015

  1. H. V. Nguyen, H. T. Ho, V. M. Patel, and R. Chellappa, “DASH-N: Joint hierarchical domain adaptation and feature learning”, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5479 – 5491, Dec. 2015. (pdf)
  2. Y-C. Chen, V. M. Patel, P. J. Phillips, and R. Chellappa, “Dictionary-based face and person recognition from unconstrained video”,IEEE Access: Special Issue on 4D’s of Machine Learning for Biometrics: Deep Learning, Dictionary Learning, Domain Adaptation, and Distance Metric Learning, vol. 3, pp. 1783 – 1798, Oct. 2015. (pdf)
  3. A. Shrivastava, V. M. Patel, J. K. Pillai, and R. Chellappa, “Generalized dictionaries for multiple instance learning”, International Journal of Computer Vision: Special Issue on Sparse Coding, vol. 114, no. 2, pp. 288-305, Sept. 2015. (pdf)
  4. V. M. Patel, N. K. Ratha, and R. Chellappa, “Cancelable biometrics: A review”, IEEE Signal Processing Magazine: Special Issue on Biometric Security and Privacy, vol. 32, no. 5, pp. 54-65, Sept. 2015. (pdf)
  5. S. Shekhar, V. M. Patel, H. V. Nguyen and R. Chellappa, “Coupled projections for adaptation of dictionaries”, IEEE Transactions on Image Processing, vol 24, no. 10, pp. 2941-2954, Oct. 2015. (pdf)
  6. R. Gopalan, R. Li, V. M. Patel and R. Chellappa, “Domain adaptation for visual recognition”, Foundations and Trends on Computer Graphics and Vision, vol. 8, no. 4, pp 285-378, Mar. 2015. (pdf)
  7. A. Shrivastava, J. K. Pillai, and V. M. Patel, “Multiple kernel-based dictionary learning for weakly supervised classification”, Pattern Recognition, vol. 48, no. 8, pp. 2667-2675, Aug. 2015. (pdf)
  8. V. M. Patel, H. V. Nguyen, and R. Vidal, “Latent space sparse and low-rank subspace clustering”, IEEE Journal of Selected Topics in Signal Processing: Special Issue on Signal Processing for Big Data, vol. 9, no. 4, pp. 691-701, June 2015. (pdf)
  9. Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, “Salient views and view-dependent dictionaries for object recognition”,Pattern Recognition: Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition, vol. 48, no. 10, pp. 3053 – 3066, Oct. 2015. (pdf)
  10. V. M. Patel, R. Gopalan, R. Li, and R. Chellappa, “Visual domain adaptation: a survey of recent advances”, IEEE Signal Processing Magazine, vol. 32, no. 3, pp. 53 – 69, May 2015. (pdf)
  11. A. Shrivastava, V. M. Patel, and R. Chellappa, “Non-linear dictionary learning with partially labeled data”, Pattern Recognition, vol. 48, no. 11, pp. 283-3292, Nov. 2015. (pdf)

 

2014

  1. Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, “Ambiguously labeled learning using dictionaries”, IEEE Transactions on Information Forensics and Security: Special Issue on Facial Biometrics in the Wild, vol. 9, no. 12, pp. 2076-2088, Dec. 2014. (pdf)
  2. Q. Qiu, V. M. Patel, and R. Chellappa, “Information-theoretic dictionary learning for image classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 11, pp. 2173-2184, Oct. 2014. (pdf)
  3. X. Gibert-Serra, V. M. Patel, D. Labate, and R. Chellappa, “Discrete shearlet transform on GPU with applciations in anomaly detection and denoising,” EURASIP Journal on Advances in Signal Processing, vol. 2014, pp. 1-64, May 2014. (pdf)
  4. S. Shekhar, V. M. Patel, N. M. Nasrabadi and R. Chellappa, “Joint sparse representation for robust multimodal biometrics recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 1, pp. 113-126, Jan. 2014. (pdf)
  5. G. R. Easley, D. Labate, and V. M. Patel, “Directional multiscale processing of images using wavelets with composite dilations,” Journal of Mathematical Imaging and Vision, vol. 48, no. 1, pp. 13-34, Jan. 2014. (pdf)
  6. V. M. Patel, G. R. Easley, R. Chellappa, and N. M. Nasrabadi, “Separated component-based restoration of speckled SAR images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 1019-1029, Feb. 2014. (pdf)
  7. M. E. Fathy, V. M. Patel, T. Yeh, Y. Zhang, R. Chellappa, and L. Davis, “Screen-based active user authentication,” Pattern Recognition Letters, vol. 42, pp. 122-127, June 2014. (pdf)
  8. V. M. Patel, Y-C Chen, R. Chellappa, and P. J. Phillips, “Dictionaries for image and video-based face recognition,” Journal of the Optical Society of America A, vol. 31, no. 5, pp. 1090-1103, May 2014. (pdf)
  9. A. Shrivastava, V. M. Patel, and R. Chellappa, “Multiple kernel learning for sparse representation-based classification,” IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 3013-3024, July 2014. (pdf)

2013

  1. H. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Design of non-linear kernel dictionaries for object recognition,” IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 5123-5135, Dec. 2013. (pdf)
  2. S. Taheri, V. M. Patel, and R. Chellappa, “Component-based recognition of faces and facial expressions,” IEEE Transactions on Affective Computing, vol. 4, no. 4, pp. 360-371, Oct. 2013. (pdf)
  3. V. M. Patel, T. Yeh, M. E. Fathy, Y. Zhang, Y. Chen, R. Chellappa, and L. Davis, “Screen fingerprints: a novel modality for active authentication,” IEEE IT Professional Magazine: Special Issue on Security, vol. 15, no. 4, pp. 38-42, July 2013. (pdf)
  4. Y-C. Chen, C. S. Sastry, V. M. Patel, P. J. Phillips and R. Chellappa, “In-plane rotation and scale invariant clustering using dictionaries,” IEEE Transactions on Image Processing, vol. 22, no. 6, pp. 2166-2180, June 2013. (pdf)

2012

  1. V. M. Patel and J. N. Mait, “Compressive passive millimeter-wave imaging with extended depth of field,” Optical Engineering: Special Section on Terahertz and Millimeter Wave Imaging,  vol. 51, no. 9, Sept. 2012. (pdf)
  2. R. Chellappa, J. Ni, and V. M. Patel, “Remote identification of faces: problems, prospects, and progress,” Pattern Recognition Letters: Special Issue on Novel Pattern Recognition-based Methods for Reidentification in Biometric Context, vol. 33, no. 15, pp. 1849-1859, Oct. 2012. (Invited) (link)
  3. V. M. Patel, T. Wu, S. Biswas, P. J. Phillips, and R. Chellappa, “Dictionary-based face recognition under variable lighting and pose,” IEEE Transactions on Information Forensics and Security, vol. 7, no. 3, pp. 954-965, June 2012. (pdf)
  4. V. M. Patel, R. Maleh, A. C. Gilbert, and R. Chellappa, “Gradient-based image recovery methods from incomplete Fourier measurements,” IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 94-105, Jan. 2012. (pdf)

2011

  1. V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Sparsity-motivated automatic target recognition,” Applied Optics, vol. 50, no. 10, pp. 1425-1433, April 2011. (pdf)
  2. J. Ni, P. Turaga, V. M. Patel and, R. Chellappa, “Example-driven manifold priors for image deconvolution,” IEEE Transactions on Image Processing, vol. 20, no. 11,  pp. 3086-3096, Nov. 2011. (pdf)
  3. J. K. Pillai, V. M. Patel, R. Chellappa and N. K. Ratha, “Random projections and sparse representations for secure and robust iris recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 9, pp. 1877-1893, Sept. 2011. (pdf)

2010

  1. V. M. Patel, G. R. Easley, D. M. Healy, Jr. and R. Chellappa, “Compressed synthetic aperture radar,” IEEE Journal of Selected Topics in Signal Processing: Special Issue on Compressive Sensing, vol. 4, no. 2, pp. 244-254, April 2010. (pdf) [Nominated for the IEEE Signal Processing Society 2012 Young Author Best Paper Award]

2009

  1. V. M. Patel, G. R. Easley and D. M. Healy, Jr., “Shearlet-based deconvolution,” IEEE Transactions on Image Processing, vol. 18, no. 12, pp. 2673-2685, Dec. 2009. (pdf)