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 can
serve as a main text in courses in image processing or as a supplemental
text for courses on regularization and inverse problems at the graduate
level.