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1.
Multilevel methods for discrete ill-posed problems: Application to deblurring
by Espanol, Malena Ines, Ph.D.  Tufts University. 2009: 138 pages; 3354723.
2.
A proposed framework for forensic image enhancement
by Ledesma, Spencer Aguila, M.S.  University of Colorado at Denver. 2015: 109 pages; 1605105.
3.
Mathematical models and numerical methods for wavefront reconstruction
by Chu, Qing, Ph.D.  Emory University. 2013: 118 pages; 3614311.
4.
A Total Variation and Spatially Varying Estimation Model for Image Restoration
by Hu, Xiaofei, Ph.D.  Syracuse University. 2010: 144 pages; 3459386.
5.
Conquering image imperfectness by priors with applications to image recovery
by Dai, Shengyang, Ph.D.  Northwestern University. 2009: 142 pages; 3386960.
6.
Inverse problems in structural biology and flexible needle steering
by Park, Wooram, Ph.D.  The Johns Hopkins University. 2008: 246 pages; 3309806.
7.
Face Recognition Technique for Blurred/Unclear Images
by Visweswaran, Krishnan, M.S.  California State University, Long Beach. 2017: 33 pages; 10263528.
8.
Adaptive Image Acquisition with Consideration of Camera Optics
by Ma, Tao, Ph.D.  Auburn University. 2012: 144 pages; 3520453.
9.
Computational Imaging Methods for Improving Resolution in Biological Microscopy
by Chan, Kevin G., Ph.D.  University of California, Santa Barbara. 2017: 104 pages; 10263523.
10.
Quantitative Microscopy Using Coded Illumination
by Phillips, Zachary Fitzgerald, Ph.D.  University of California, Berkeley. 2019: 139 pages; 13885487.
11.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
12.
Theoretical methods for blur-correction in electron and soft x-ray microscopy
by Klukowska, Joanna, Ph.D.  City University of New York. 2013: 170 pages; 3601710.
13.
Chip-Scale Fluorescence Microscope
by Papageorgiou, Efthymios Philip, Ph.D.  University of California, Berkeley. 2019: 84 pages; 13883892.
14.
Efficient image restoration algorithms for near-circulant systems
by Pan, Ruimin, Ph.D.  Auburn University. 2007: 130 pages; 3265586.
15.
High Resolution 2D Imaging and 3D Scanning with Line Sensors
by Wang, Jian, Ph.D.  Carnegie Mellon University. 2018: 98 pages; 10932738.
16.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
17.
Separating layers in images and its applications
by Yu, Li, Ph.D.  National University of Singapore (Singapore). 2015: 126 pages; 10006044.
18.
Decoding of purely compressed-sensed video
by Liu, Ying, Ph.D.  State University of New York at Buffalo. 2012: 91 pages; 3541131.
19.
Computer Vision and Image Processing Toolbox for MATLAB
by Regmi, Krishna, M.S.  Southern Illinois University at Edwardsville. 2015: 113 pages; 1597577.
20.
Noncontact 2D Plethysmography: A non-invasive technique for monitoring dynamic trends in a respiratory system
by Doddick, Sylvano, M.S.  California State University, Long Beach. 2012: 151 pages; 1522217.
21.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
22.
Flexible imaging for capturing depth and controlling field of view and depth of field
by Kuthirummal, Sujit, Ph.D.  Columbia University. 2009: 155 pages; 3348435.
23.
Serial learning of verbal and nonverbal sequences
by Bonk, William James, Ph.D.  University of Colorado at Boulder. 2008: 228 pages; 3303837.
25.
Efficient sensing, summarization and classification of videos
by Shroff, Nitesh, Ph.D.  University of Maryland, College Park. 2012: 240 pages; 3543609.
26.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
28.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
29.
Learning-Based Methods for Single Image Restoration and Translation
by Zhang, He, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 149 pages; 10982777.
30.
Solving Large-Scale Inverse Problems via Approximate Message Passing and Optimization
by Ma, Yanting, Ph.D.  North Carolina State University. 2017: 180 pages; 10758823.
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