Sparse Image and Signal Processing

1. Introduction to the world of sparsity
2. The wavelet transform
3. Redundant wavelet transform
4. Nonlinear multiscale transforms
5. Multiscale geometric transforms
6. Sparsity and noise removal
7. Linear inverse problems
8. Morphological diversity
9. Sparse blind source separation
10. Dictionary learning
11. Three-dimensional sparse representations
12. Multiscale geometric analysis on the sphere
13. Compressed sensing
14. This book's take-home message.