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Because of the excellent ability to characterize the sparsity of natural images, ℓ1-norm sparse representation (SR) is widely used to formulate the linear combination relationship in dictionary-learning-based face hallucination. However, due to inherently less sparse nature of noisy images, Laplacian prior assumed for ℓ1-norm seems aggressive in terms of sparsity, which ultimately leads to significant...