Abstract
We propose a new optimization approach, namely Mean Gradient Descent (MGD), to solve a variety of inverse problems in imaging science. The proposed algorithm does not involve empirical parameters, is noise robust and computationally inexpensive.
© 2021 The Author(s)
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