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Signal Processing, ISSN 0165-1684, 02/2018, Volume 143, pp. 69 - 85
•We propose a nonconvex and nonsmooth TGV model for image restoration.•We introduce two iteratively reweighted algorithms to solve the proposed model.•We... 
Primal-dual algorithm | Total generalized variation (TGV) | Image restoration | Iteratively reweighed algorithm | Nonconvex | SUPERRESOLUTION | TOTAL VARIATION REGULARIZATION | RECONSTRUCTION | ALGORITHMS | LEAST-SQUARES | ENGINEERING, ELECTRICAL & ELECTRONIC | SPACE | MINIMIZATION | Image processing | Analysis | Models | Algorithms
Journal Article
Journal of Scientific Computing, ISSN 0885-7474, 07/2017, Volume 72, Issue 1, pp. 172 - 197
Journal Article
Complexity, ISSN 1076-2787, 2019, Volume 2019, pp. 1 - 16
Journal Article
Neurocomputing, ISSN 0925-2312, 09/2019, Volume 359, pp. 15 - 31
Total variation (TV) regularization model has the excellent performance in noise-removing and edge-preserving. However, it often yields staircase artifacts in... 
Image restoration | Nonconvex | Regularization | Total variational (TV) | Staircase artifacts | RECOVERY | SIGNALS | CONVERGENCE | TOTAL VARIATION MINIMIZATION | EFFICIENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Models | Algorithms | Image processing | Analysis
Journal Article
SIAM JOURNAL ON IMAGING SCIENCES, ISSN 1936-4954, 2019, Volume 12, Issue 2, pp. 1001 - 1037
Journal Article
by Na, H and Kang, M and Jung, M
INVERSE PROBLEMS AND IMAGING, ISSN 1930-8337, 02/2019, Volume 13, Issue 1, pp. 117 - 147
Journal Article
Journal Article
Inverse Problems, ISSN 0266-5611, 03/2018, Volume 34, Issue 4, p. 44003
Hyperspectral imaging is a cutting-edge type of remote sensing used for mapping vegetation properties, rock minerals and other materials. A major drawback of... 
pansharpening | remote sensing | hyperspectral imaging | super-resolution | blind deconvolution | MATHEMATICS, APPLIED | RECONSTRUCTION | ALGORITHMS | PHYSICS, MATHEMATICAL | RECOVERY | NONCONVEX | REGISTRATION | ALTERNATING LINEARIZED MINIMIZATION | AIRBORNE LIDAR
Journal Article
by Zhu, JG and Li, K and Hao, BB
JOURNAL OF APPLIED REMOTE SENSING, ISSN 1931-3195, 01/2019, Volume 13, Issue 2
Convex total variation (TV) regularization models have been widely used in remote sensing image restoration problems; however, these models tend to produce... 
ITERATION | nonconvex | generalization of soft-thresholding algorithm | second-order total variation regularization | ALGORITHM | DECOMPOSITION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | LEAST-SQUARES | RECOVERY | ENVIRONMENTAL SCIENCES | REMOTE SENSING | OPTIMIZATION | remote sensing image | TOTAL VARIATION MINIMIZATION
Journal Article
2016 International Conference on Computational Intelligence and Applications (ICCIA), 08/2016, pp. 21 - 25
Image denoising is a typically ill-conditioned inverse problem, which has attracted much attention in the fields of image processing and computer vision. In... 
Image quality | Image edge detection | Computational modeling | total generalized variation | Image restoration | total variation | nonconvex optimization | Optimization | Image denoising | Image Denoising | Total Generalized Variation | Total Variation | Nonconvex Optimization
Conference Proceeding
SIAM Journal on Optimization, ISSN 1052-6234, 2016, Volume 26, Issue 2, pp. 891 - 921
We develop a new proximal-gradient method for minimizing the sum of a differentiable, possibly nonconvex, function plus a convex, possibly nondifferentiable,... 
Nonsmooth optimization | Nonconvex optimization | Generalized projection | Proximal algorithms | PROJECTED GRADIENT METHODS | MATHEMATICS, APPLIED | proximal algorithms | MINIMIZATION | CONVEX | EUCLIDEAN DISTANCES | PROXIMAL POINT ALGORITHMS | SUBGRADIENT METHODS | CONVERGENCE | nonconvex optimization | nonsmooth optimization | generalized projection
Journal Article