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.
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