Iterative Methods for Total Variation Denoising
نویسندگان
چکیده
Total Variation (TV) methods are very eeective for recovering \blocky", possibly discontinuous, images from noisy data. A xed point algorithm for minimizing a TV-penalized least squares functional is presented and compared to existing minimization schemes. A multigrid method for solving (large, sparse) linear subproblems is investigated. Numerical results are presented for one-and two-dimensional examples; in particular, the algorithm is applied to actual data obtained from confocal microscopy.
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عنوان ژورنال:
- SIAM J. Scientific Computing
دوره 17 شماره
صفحات -
تاریخ انتشار 1996