Joint Learning For Single-Image Super-Resolution Via A Coupled Constraint

IEEE-Inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
IEEE Transactions On Image Processing, 2012, 21 (2), pp. 469 - 480
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The neighbor-embedding (NE) algorithm for single-image super-resolution (SR) reconstruction assumes that the feature spaces of low-resolution (LR) and high-resolution (HR) patches are locally isometric. However, this is not true for SR because of one-to-
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