A local estimate for vectorial total variation minimization in one dimension
classification
🧮 math.AP
keywords
totalvariationvectorialboldsymbolsubintervalanalogousboundeddata-fidelity
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Let $\boldsymbol u$ be the minimizer of vectorial total variation ($VTV$) with $L^2$ data-fidelity term on an interval $I$. We show that the total variation of $\boldsymbol u$ 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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