Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …

Digital holography (DH) has emerged as one of the most effective coherent imaging
technologies. The technological developments of digital sensors and optical elements have …

Purpose: To adapt the so‐called nonlocal means filter to deal with magnetic resonance (MR)
images with spatially varying noise levels (for both Gaussian and Rician distributed noise) …

In this paper, we present the concept of diffusing models to perform image-to-image
matching. Having two images to match, the main idea is to consider the objects boundaries …

Partial differential equations (PDEs) have led to an entire new field in image processing and
computer vision. Hundreds of publications have appeared in the last decade, and PDE …

The analysis of MR images is evolving from qualitative to quantitative. More and more, the
question asked by clinicians is how much and where, rather than a simple statement on the …

Tensors are nowadays a common source of geometric information. In this paper, we
propose to endow the tensor space with an affine-invariant Riemannian metric. We …

Vascular diseases are among the most important public health problems in developed
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …

A critical issue in image restoration is the problem of noise removal while kee** the
integrity of relevant image information. Denoising is a crucial step to increase image quality …

Relations between anisotropic diffusion and robust statistics are described in this paper.
Specifically, we show that anisotropic diffusion can be seen as a robust estimation …