Web: http://arxiv.org/abs/2205.02031

May 5, 2022, 1:10 a.m. | Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo

cs.CV updates on arXiv.org arxiv.org

Modern Earth observation satellites capture multi-exposure bursts of
push-frame images that can be super-resolved via computational means. In this
work, we propose a super-resolution method for such multi-exposure sequences, a
problem that has received very little attention in the literature. The proposed
method can handle the signal-dependent noise in the inputs, process sequences
of any length, and be robust to inaccuracies in the exposure times.
Furthermore, it can be trained end-to-end with self-supervision, without
requiring ground truth high resolution frames, …

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