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Bilevel optimization for calibrating point spread functions in blind deconvolution
2015
Inverse Problems and Imaging
Blind deconvolution problems arise in many imaging modalities, where both the underlying point spread function, which parameterizes the convolution operator, and the source image need to be identified. In this work, a novel bilevel optimization approach to blind deconvolution is proposed. The lower-level problem refers to the minimization of a total-variation model, as is typically done in non-blind image deconvolution. The upper-level objective takes into account additional statistical
doi:10.3934/ipi.2015.9.1139
fatcat:cpndwmn6lzfkvpwa3iro2zajjm