2019
DOI: 10.1016/j.na.2018.11.009
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A local estimate for vectorial total variation minimization in one dimension

Abstract: Let u be the minimizer of vectorial total variation (V T V ) with L 2 data-fidelity term on an interval I. We show that the total variation of u over any subinterval of I is bounded by that of the datum over the same subinterval. We deduce analogous statement for the vectorial total variation flow on I.

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Cited by 5 publications
(4 citation statements)
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“…We stress that Theorem 1 is, to our knowledge, the first result of this type which admits vectorial problems. An exception is [14], where a stronger result is obtained in the case m = 1, Φ = | • |. We note however, that there is also a paper [2], where existence of W 1,1 solutions is obtained in vectorial setting for functionals of linear growth with a regular enough source term instead of fidelity term.…”
Section: Introductionmentioning
confidence: 92%
See 1 more Smart Citation
“…We stress that Theorem 1 is, to our knowledge, the first result of this type which admits vectorial problems. An exception is [14], where a stronger result is obtained in the case m = 1, Φ = | • |. We note however, that there is also a paper [2], where existence of W 1,1 solutions is obtained in vectorial setting for functionals of linear growth with a regular enough source term instead of fidelity term.…”
Section: Introductionmentioning
confidence: 92%
“…In [7] and [4], it has been established for m = n = 1 and Φ = | • | that |∇u| ≤ |∇f | in the sense of measures. This was later generalized to the vectorial case n > 1 in [14]. Such an estimate is known to fail if m > 1.…”
Section: Introductionmentioning
confidence: 99%
“…In all papers listed above, only the scalar case n = 1 is considered. The only generalization of the mentioned results to the vector-valued case that we know of is [20], where inequality (1.6) is obtained in the case m = 1, n > 1, F = | • | using integral estimates. In this paper, our goal is to obtain estimates on u x or u s x in the case m = 1, n > 1 for possibly general F .…”
Section: Introductionmentioning
confidence: 99%
“…We point out that similar results have already been reported for the case of the total variation flow. In particular, in the one-dimensional case, the total variation of the solution can be controlled by that of the initial data in a completely local way (see [20]) while in the multidimensional case, this has only been shown for the jump part (see [17] for dimension less than or equal to 7 or [23] for a related result in any dimension).…”
Section: Introductionmentioning
confidence: 99%