Let be a bounded connected Lipschitz domain, , bounded, and bounded and positivity preserving with . Minimize over nonnegative BV space functions. The logarithmic Jensen inequality bounds and variation on sublevels; mean control for positive imaging operators then bounds the full norm. Bounded-variation compactness gives strong convergence, including nonnegativity. The scalar fidelity has bounded derivative on , so continuity of makes its integral continuous in that limit. Lower semicontinuity of variation proves existence by the direct method in the calculus of variations. If almost everywhere and is injective, strict convexity of the fidelity gives uniqueness. For , zero is the unique minimizer even without injectivity, since zero energy forces both and a constant nonnegative .

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