التفاصيل البيبلوغرافية
| العنوان: |
Modification of TV-ROF denoising model based on Split Bregman iterations. |
| المؤلفون: |
Campagna, Rosanna1, Crisci, Serena2, Cuomo, Salvatore1 salvatore.cuomo@unina.it, Marcellino, Livia3, Toraldo, Gerardo1 |
| المصدر: |
Applied Mathematics & Computation. Dec2017, Vol. 315, p453-467. 15p. |
| مصطلحات موضوعية: |
*SIGNAL denoising, *SPLIT Bregman method, *ITERATIVE methods (Mathematics), *PROBLEM solving, *DERIVATIVES (Mathematics) |
| مستخلص: |
Minimizing variational models by means of (un)constrained optimization algorithms is a well-known approach for dealing with the image denoising problem. In this paper, we propose a modification of the widely explored TV-ROF model named H-TV-ROF, in which a penalty term based on higher order derivatives is added. A Split Bregman iterative scheme is used to solve the proposed model and its convergence is proved. The performance of the new algorithm is analized and compared with TV-ROF on a set of numerical experiments. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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