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12/06/2022
Proximal methods for point source localisation
Point source localisation is generally modelled as a Lasso-type problem ...
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11/09/2022
A nonsmooth primal-dual method with simultaneous adaptive PDE constraint solver
We introduce an efficient first-order primal-dual method for the solutio...
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12/08/2020
Non-planar sensing skins for structural health monitoring based on electrical resistance tomography
Electrical resistance tomography (ERT) -based distributed surface sensin...
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05/19/2020
Inverse problems with second-order Total Generalized Variation constraints
Total Generalized Variation (TGV) has recently been introduced as penalt...
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02/19/2020
Relaxed Gauss-Newton methods with applications to electrical impedance tomography
As second-order methods, Gauss–Newton-type methods can be more effective...
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02/08/2020
Predictive online optimisation with applications to optical flow
Online optimisation revolves around new data being introduced into a pro...
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11/14/2019
Primal-dual block-proximal splitting for a class of non-convex problems
We develop block structure adapted primal-dual algorithms for non-convex...
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09/07/2015
Diffusion tensor imaging with deterministic error bounds
Errors in the data and the forward operator of an inverse problem can be...
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05/08/2015
Bilevel approaches for learning of variational imaging models
We review some recent learning approaches in variational imaging, based ...
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05/08/2015
The structure of optimal parameters for image restoration problems
We study the qualitative properties of optimal regularisation parameters...
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07/09/2014
The jump set under geometric regularisation. Part 2: Higher-order approaches
In Part 1, we developed a new technique based on Lipschitz pushforwards ...
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07/06/2014
The jump set under geometric regularisation. Part 1: Basic technique and first-order denoising
Let u ∈BV(Ω) solve the total variation denoising problem with L^2-square...
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07/01/2014