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Patch Complexity, Finite Pixel Correlations and Optimal Denoising

Patch Complexity, Finite Pixel Correlations and Optimal Denoising

This video was recorded at 12th European Conference on Computer Vision (ECCV), Firenze 2012. 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, since most current methods are limited to finite support patches or kernels, what is the relation between the patch complexity of natural images, patch size, and restoration errors? Focusing on image denoising,... Show More


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