18 citations · 20 across the 6 of their papers we have counts for
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math.OC2015★ 2 cited
Bregman Iteration for Correspondence Problems: A Study of Optical Flow
Laurent Hoeltgen, Michael Breuß
Bregman iterations are known to yield excellent results for denoising, deblurring and compressed sensing tasks, but so far this technique has rarely been used for other image proce…
cs.CV2015★ 18 cited
Optimising Spatial and Tonal Data for PDE-based Inpainting
Laurent Hoeltgen, Markus Mainberger, Sebastian Hoffmann +6
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by inpainting with a partial differential equation (P…