98 citations · 135 across the 8 of their papers we have counts for
8 papers
A structured L-BFGS method and its application to inverse problems
Florian Mannel, Hari Om Aggrawal, Jan Modersitzki
Many inverse problems are phrased as optimization problems in which the objective function is the sum of a data-fidelity term and a regularization. Often, the Hessian of the fideli…
Hessian Initialization Strategies for L-BFGS Solving Non-linear Inverse Problems
Hari Om Aggrawal, Jan Modersitzki
L-BFGS is the state-of-the-art optimization method for many large scale inverse problems. It has a small memory footprint and achieves superlinear convergence. The method approxima…
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies
Hari Om Aggrawal, Jan Modersitzki
Multilevel strategies are an integral part of many image registration algorithms. These strategies are very well-known for avoiding undesirable local minima, providing an outstandi…
A Novel Similarity Measure for Image Sequences
Kai Brehmer, Benjamin Wacker, Jan Modersitzki
Quantification of image similarity is a common problem in image processing. For pairs of two images, a variety of options is available and well-understood. However, some applicatio…
Variational Registration of Multiple Images with the SVD based SqN Distance Measure
Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann +1
Image registration, especially the quantification of image similarity, is an important task in image processing. Various approaches for the comparison of two images are discussed i…
Simultaneous Registration of Image Sequences -- a novel singular value based images similarity measure
Kai Brehmer, Benjamin Wacker, Jan Modersitzki
The comparison of images is an important task in image processing. For a comparison of two images, a variety of measures has been suggested. However, applications such as dynamic i…