Low-level image priors and laplacian preconditioners for applications in computer graphics and computational photography

Low-level image priors and laplacian preconditioners for applications in computer graphics and computational photography, 2013.

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Abstract:

In the first part of this thesis, we develop novel image priors and efficient algorithms for image denoising and deconvolution applications. Our priors and algorithms enable fast, high-quality restoration of images corrupted by noise or blur. In the second part, we develop effective preconditioners for Laplacian matrices. Such matrices ar...More

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