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ORCIDHandbook of Convex Optimization Methods in Imaging Science 2017
- Vishal Monga:
Handbook of Convex Optimization Methods in Imaging Science. Springer 2017, ISBN 978-3-319-61608-7 - Vishal Monga:
Introduction. 1-13 - Dominique Brunet, Sumohana S. Channappayya, Zhou Wang
, Edward R. Vrscay, Alan C. Bovik:
Optimizing Image Quality. 15-41 - Raja Bala, Graham D. Finlayson, Chul Lee:
Computational Color Imaging. 43-70 - Eric Mason, Ilker Bayram, Birsen Yazici:
Optimization Methods for Synthetic Aperture Radar Imaging. 71-103 - Figen S. Oktem, Liang Gao, Farzad Kamalabadi:
Computational Spectral and Ultrafast Imaging via Convex Optimization. 105-127 - He Zhang, Vishal M. Patel:
Discriminative Sparse Representations. 129-156 - Xin Li, Weisheng Dong, Guangming Shi:
Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach. 157-176 - Vishal Monga, Hojjat Seyed Mousavi, Umamahesh Srinivas:
Sparsity Constrained Estimation in Image Processing and Computer Vision. 177-206 - Rushil Anirudh, Pavan K. Turaga, Anuj Srivastava:
Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision. 207-228
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