Title: Image Registration for the Alignment of Digitized Historical Documents,
Abstract: In this work, we conducted a survey on different registration algorithms and
investigated their suitability for hyperspectral historical image registration
applications. After the evaluation of different algorithms, we choose an
intensity based registration algorithm with a curved transformation model. For
the transformation model, we select cubic B-splines since they should be
capable to cope with all non-rigid deformations in our hyperspectral images.
From a number of similarity measures, we found that residual complexity and
localized mutual information are well suited for the task at hand. In our
evaluation, both measures show an acceptable performance in handling all
difficulties, e.g., capture range, non-stationary and spatially varying
intensity distortions or multi-modality that occur in our application.