Deblurring Images: Matrices, Spectra and Filtering

By Per Christian Hansen, J. Nagy, Dianne P. O'Leary, Rodney L. Miller. J. Electronic Imaging, 2008

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A Blur-Robust Descriptor with Applications to Face Recognition (2012, background): “Regarding the assumption on the rank of KS , we would like to stress that although some blur PSF’s are not invertible, their BTTB matrices are generally full rank (see [16], and the references therein).”
Deep Neural Networks Motivated by Partial Differential Equations (2018, unknown): “K (·,·) 1 (·) a standard convolution operator [21].”
Image deblurring with Poisson data: from cells to galaxies (2009, background): “Moreover, without any claim to be exhaustive, we point out at some books [65, 78, 136] or chapters of books [25, 124, 127, 132] dedicated to this problem.”
An Augmented Lagrangian Method for Total Variation Video Restoration (2011, methodology): “Popular methods such as Wiener deconvolution [1], Lucy Richardson deconvolution [2], [3] and regularized least squares minimization [4], [5] have already been implemented in MATLAB and FIJI [6].”