BIGPrior: Toward Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
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DOI: 10.1109/tip.2022.3143006
Abstract: Classic image-restoration algorithms use a variety of priors, either implicitly or explicitly. Their priors are hand-designed and their corresponding weights are heuristically assigned. Hence, deep learning methods often produce superior image restoration quality. Deep networks… read more here.
Keywords: hallucination data; image restoration; restoration; image ... See more keywords