Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

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 …

Abstract We study the Unadjusted Langevin Algorithm (ULA) for sampling from a probability
distribution $\nu= e^{-f} $ on $\R^ n $. We prove a convergence guarantee in Kullback …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

Extracting well-distributed, reliable, and precisely aligned point pairs for accurate image
registration is a difficult task, particularly for multisource remote sensing images that have …

Statistical analysis of images reveals two interesting properties:(i) invariance of image
statistics to scaling of images, and (ii) non-Gaussian behavior of image statistics, ie high …

Divergence measures for statistical data processing—An annotated bibliography -
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Over the last two decades, there has been a significant improvement in the quality and
volume of the remote-sensing images. With the extensive availability of the images, these …

Renyi entropy and Renyi divergence evidence a long track record of usefulness in
information theory and its applications. Alfred Rényi never got around to generalizing mutual …

Maps of local tissue compression or expansion are often computed by comparing magnetic
resonance imaging (MRI) scans using nonlinear image registration. The resulting changes …