Handbook of Convex Optimization Methods in Imaging Science

1. Introduction
Vishal Monga

2. Optimizing Image Quality
Dominique Brunet, Sumohana S. Channappayya, Zhou Wang, Edward R. Vrscay, Alan C. Bovik

3. Computational Color Imaging
Raja Bala, Graham Finlayson, Chul Lee

4. Optimization Methods for Synthetic Aperture Radar Imaging
Eric Mason, Ilker Bayram, Birsen Yazici

5. Computational Spectral and Ultrafast Imaging via Convex Optimization
Figen S. Oktem, Liang Gao, Farzad Kamalabadi

6. Discriminative Sparse Representations
He Zhang, Vishal M. Patel

7. Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach
Xin Li, Weisheng Dong, Guangming Shi

8. Sparsity Constrained Estimation in Image Processing and Computer Vision
Vishal Monga, Hojjat Seyed Mousavi, Umamahesh Srinivas

9. Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision
Rushil Anirudh, Pavan Turaga, Anuj Srivastava

Avainsanat: Computer Science, Image Processing and Computer Vision, Signal, Image and Speech Processing