A wavelet-Laplace variational technique for image deconvolution and inpainting JA Dobrosotskaya, AL Bertozzi
IEEE Transactions on Image Processing 17 (5), 657-663, 2008
176 2008 Semi-supervised learning of heterogeneous data in remote sensing imagery J Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke, D Gillis
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2012
34 2012 Integration of heterogeneous data for classification in hyperspectral satellite imagery J Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke, D Gillis
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012
28 2012 Wavelet analogue of the Ginzburg–Landau energy and its Γ-convergence JA Dobrosotskaya, AL Bertozzi
Interfaces and Free Boundaries 12 (4), 497-525, 2011
25 2011 Analysis of the wavelet Ginzburg--Landau energy in image applications with edges JA Dobrosotskaya, AL Bertozzi
SIAM Journal on Imaging Sciences 6 (1), 698-729, 2013
16 2013 Spatial-spectral operator theoretic methods for hyperspectral image classification JJ Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke
GEM-International Journal on Geomathematics 7, 275-297, 2016
10 2016 Modeling photo-bleaching kinetics to create high resolution maps of rod rhodopsin in the human retina M Ehler, J Dobrosotskaya, D Cunningham, WT Wong, EY Chew, W Czaja, ...
PLoS One 10 (7), e0131881, 2015
9 2015 Composite wavelet representations for reconstruction of missing data W Czaja, J Dobrosotskaya, B Manning
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2013
8 2013 Modeling of the rhodopsin bleaching with variational analysis of retinal images J Dobrosotskaya, M Ehler, EJ King, RF Bonner, W Czaja
Medical Imaging 2011: Image Processing 7962, 1322-1330, 2011
8 2011 High-resolution autofluorescence imaging for mapping molecular processes within the human retina M Ehler, Z Majumdar, E King, J Dobrosotskaya, E Chew, W Wong, ...
26th Southern Biomedical Engineering Conference SBEC 2010, April 30-May 2 …, 2010
7 2010 Sparse representation and variational methods in retinal image processing J Dobrosotskaya, M Ehler, E King, R Bonner, W Czaja
26th Southern Biomedical Engineering Conference SBEC 2010, April 30-May 2 …, 2010
7 2010 On the uniformity of the approximation for -associated Stirling numbers of the second Kind H Connamacher, J Dobrosotskaya
Contributions to Discrete Mathematics 15 (3), 25-42, 2020
6 2020 Multiscale and multidirectional tight frames for image analysis EH Bosch, A Castrodad, JS Cooper, W Czaja, J Dobrosotskaya
Proceedings of SPIE 8750, 2013
6 2013 Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density M Ehler, J Dobrosotskaya, EJ King, W Czaja, RF Bonner
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 1081-1087, 2011
6 2011 A Quantitative Comparison of Background Oriented and Conventional Schlieren Visualization J Dobrosotskaya, A Alrefaie, BE Schmidt
AIAA SCITECH 2023 Forum, 2439, 2023
3 2023 Data adaptive multi-scale representations for image analysis J Dobrosotskaya, W Guo
Wavelets and Sparsity XVIII 11138, 49-55, 2019
3 2019 A PDE-free variational method for multi-phase image segmentation based on multiscale sparse representations J Dobrosotskaya, W Guo
Journal of Imaging 3 (3), 26, 2017
3 2017 Tight frames for multiscale and multidirectional image analysis EH Bosch, A Castrodad, JS Cooper, W Czaja, J Dobrosotskaya
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2013
2 2013 Inpainting via sparse recovery with directional constraints XC Chen, J Dobrosotskaya
Mathematical foundations of computing 3 (4), 2020
1 2020 A PDE-free variational model for multiphase image segmentation J Dobrosotskaya, W Guo
Wavelets and Sparsity XVI 9597, 24-33, 2015
1 2015