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Deconvolution and sparsity based image restoration



Deconvolution and sparse representation are the two key areas in image and signal processing. In this thesis the classical image restoration problem is addressed using these two modalities. Image restoration, such as deblurring, dnoising, and in-painting belongs to the class of ill-posed linear inverse problems, which requires a proper regularization for a credible solution. The aim is to develop techniques that are stable, practical and require a minimum amount of prior knowledge. The two main...[Show more]

CollectionsOpen Access Theses
Date published: 2015
Type: Thesis (PhD)
DOI: 10.25911/5d514e242a85f


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