| Parabolic Quasilinear Equations Minimizing Linear Growth Functionals 2004 Edition Contributor(s): Andreu-Vaillo, Fuensanta (Author), Caselles, Vicent (Author), Mazon, José M. (Author) |
|
 |
ISBN: 3764366192 ISBN-13: 9783764366193 Publisher: Birkhauser OUR PRICE: $113.99 Product Type: Hardcover - Other Formats Published: January 2004 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Mathematical Analysis - Mathematics | Differential Equations - General - Mathematics | Functional Analysis |
| Dewey: 515.353 |
| LCCN: 2003070866 |
| Series: Progress in Mathematics |
| Physical Information: 0.81" H x 6.14" W x 9.21" (1.50 lbs) 342 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |