Applications of multiscale hierarchical decomposition to blind deconvolution
The blind image deconvolution is a challenging, highly ill-posed nonlinear inverse problem.
We introduce a Multiscale Hierarchical Decomposition Method (MHDM) that is iteratively …
We introduce a Multiscale Hierarchical Decomposition Method (MHDM) that is iteratively …
Higher order error estimates for regularization of inverse problems under non-additive noise
DE Mirciu, E Resmerita - arXiv preprint arXiv:2411.19736, 2024 - arxiv.org
In this work we derive higher order error estimates for inverse problems distorted by non-
additive noise, in terms of Bregman distances. The results are obtained by means of a novel …
additive noise, in terms of Bregman distances. The results are obtained by means of a novel …
[图书][B] Inverse Problems in Mathematical Imaging with Applications in Multiplicative Noise Removal, Remotely Sensed Atmospheric Wind Velocity Estimation, and …
JR Barnett - 2024 - search.proquest.com
This thesis considers three inverse problems originating in mathematical imaging, remote
sensing and simulation. First, it addresses a challenging image processing task: recovering …
sensing and simulation. First, it addresses a challenging image processing task: recovering …