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Lecture Notes in Computer Science
Image restoration tasks are ill-posed problems, typically solved with priors. Since the optimal prior is the exact unknown density of natural images, actual priors are only approximate and typically restricted to small patches. This raises several questions: How much may we hope to improve current restoration results with future sophisticated algorithms? And more fundamentally, even with perfect knowledge of natural image statistics, what is the inherent ambiguity of the problem? In addition,doi:10.1007/978-3-642-33715-4_6 fatcat:f4tiqivg7nfcrieu4svwgczrm4