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The comparison of images is an important task in image processing. For acomparison of two images, a variety of measures has been suggested. However,applications such as dynamic imaging or serial sectioning provide a series ofmany images to be compared. When these images are to be registered, thestandard approach is to sequentially align the j-th image with respect to itsneighbours and sweep with respect to j. One of the disadvantages is thatinformation is distributed only locally. We introduce an alternative so-calledSqN approach. SqN is based on the Schatten-q-norm of the image sequencegradients, i.e. rank information of image gradients of the whole imagesequence. With this approach, information is transported globally. Ourexperiments show that SqN gives at least comparable registration results tostandard distance measures but its computation is about six times faster.

Simultaneous Registration of Image Sequences -- a novel singular value based images similarity measure