Optimization

From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs
For inpainting with linear partial differential equations (PDEs) such as homogeneous or biharmonic diffusion, sophisticated data …
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Bregman Iteration for Correspondence Problems: A Study of Optical Flow
Bregman iterations are known to yield excellent results for denoising, deblurring and compressed sensing tasks, but so far this …
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Optimising Spatial and Tonal Data for PDE-based Inpainting
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by …
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Why does non-binary mask optimisation work for diffusion-based image compression?
Finding optimal data for inpainting is a key problem for image-compression with partial differential equations. Not only the location …
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Why does non-binary mask optimisation work for diffusion-based image compression?
Oral presentation
2015-01-13
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Optimal interpolation data for image reconstructions
This work analyses several approaches for determining optimal sparse data sets for image reconstructions by means of linear homogeneous …
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Optimal interpolation data for image reconstructions
An Optimal Control Approach to Find Sparse Data for Laplace Interpolation
Oral presentation
2013-08-19
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An Optimal Control Approach to Find Sparse Data for Laplace Interpolation
Finding optimal data for inpainting is a key problem in the context of partial differential equation-based image compression. We …
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Continuous Spatial and Tonal Point Optimisation for Interpolation and Approximation of Convex Signals with Homogeneous Diffusion
Oral presentation
2013-03-18
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Bregman Iteration for Optical Flow
Oral presentation
2012-09-17
Project Slides