Multiscale low-resolution images with pairwise coprime pixel sizes yield a stable inverse for super-resolution, allowing efficient Fourier or iterative least-squares reconstruction with an i.i.d. noise error bound.
LSQR: An algorithm for sparse linear equations and sparse least squares,
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Multiscale Super Resolution without Image Priors
Multiscale low-resolution images with pairwise coprime pixel sizes yield a stable inverse for super-resolution, allowing efficient Fourier or iterative least-squares reconstruction with an i.i.d. noise error bound.