Irregular to regular sampling, denoising and deconvolution
Data(s) |
02/07/2013
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Resumo |
We propose a restoration algorithm for band limited images that considers irregular(perturbed) sampling, denoising, and deconvolution. We explore the application of a family ofregularizers that allow to control the spectral behavior of the solution combined with the irregular toregular sampling algorithms proposed by H.G. Feichtinger, K. Gr¨ochenig, M. Rauth and T. Strohmer.Moreover, the constraints given by the image acquisition model are incorporated as a set of localconstraints. And the analysis of such constraints leads to an early stopping rule meant to improvethe speed of the algorithm. Finally we present experiments focused on the restoration of satellite images, where the micro-vibrations are responsible of the type of distortions we are considering here. We will compare results of the proposed method with previous methods and show an extension tozoom. |
Identificador | |
Idioma(s) |
eng |
Publicador |
SIAM (Society for Industrial and Applied Mathematics) |
Direitos |
© Society for Industrial and Applied Mathematics info:eu-repo/semantics/openAccess |
Palavras-Chave | #Imatges -- Anàlisi -- Models matemàtics #Imatges -- Processament -- Matemàtica #Total variation #Variational methods #Images restoration #Satellite images |
Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |