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In this paper, a patch-based super-resolution (SR) method is proposed to hallucinate facial images, where the image patches are selected and weighted based on a multilateral affinity function (MAF). Inspired by the property of human faces, we design the MAF by combining four parts, each of which is also an affinity function and inspired from different insights. The first part describes the similarity...
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