Higher-Order Feature-Preserving Geometric Regularization
SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences
Dual Norm Based Iterative Methods for Image Restoration
Journal of Mathematical Imaging and Vision
A class of quasi-variational inequalities for adaptive image denoising and decomposition
Computational Optimization and Applications
Hi-index | 0.01 |
This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text.It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It canserveas a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.