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SCALESPACE
2009
Springer
14 years 2 months ago
Bregman-EM-TV Methods with Application to Optical Nanoscopy
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...
Christoph Brune, Alex Sawatzky, Martin Burger
COMPUTING
2007
122views more  COMPUTING 2007»
13 years 7 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He
PR
2002
108views more  PR 2002»
13 years 7 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
SCALESPACE
2005
Springer
14 years 1 months ago
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
Variational methods are very popular for optic flow computation: They yield dense flow fields and perform well if they are adapted such that they respect discontinuities in the ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...
ECCV
2010
Springer
13 years 8 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...