This book contains a detailed mathematical analysis of the
variational approach to image restoration based on the minimization
of the total variation submitted to the constraints given by the
image acquisition model. This model, initially introduced by Rudin,
Osher, and Fatemi, had a strong influence in the development of
variational methods for image denoising and restoration, and
pioneered the use of the BV model in image processing. After a full
analysis of the model, the minimizing total variation flow is
studied under different boundary conditions, and its main
qualitative properties are exhibited. In particular, several
explicit solutions of the denoising problem are computed.
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