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In this paper we introduce a novel technique that restores video frames by using several high quality stills taken of the same static scene. Our method is relied on the robustness of the local feature points. We first select several seed frames by employing a powerful detector/descriptor between video frames and reference photographs. Next, based on this information good local feature points are tracked...
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