Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

The development of wavelet theory has in recent years spawned applications in signal
processing, in fast algorithms for integral transforms, and in image and function …

Implicit representations can provide simple descriptions of relatively complex shapes and
can in many cases be a good choice when designing stable shape processing algorithms …

This book really shows how registration works: the flip-book appearing at the top right
corners shows a registration of a human knee from bent to straight position (keeping bones …

The aim of this paper is to provide a survey on the recent development in level set methods
in inverse problems and optimal design. We give introductions on the general features of …

A particular problem in image registration arises for multi-modal images taken from different
imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a …

Image registration is the process of aligning two or more images of the same scene taken at
different times, from different viewpoints and/or by different sensors. Image registration is a …

Image registration is one of the most challenging problems in image processing, where ill-
posedness arises due to noisy data as well as nonuniqueness, and hence the choice of …

Collocated magnetotelluric (MT) and seismic profiling is emerging as a necessary combined
approach for deep and near-surface imaging but the resulting experimental data are …

Multiphysics imaging or data inversion is of growing importance in many branches of
science and engineering. In geophysical sciences, there is a need for combining information …