We review a set of recent multiscale imaging techniques, producing high-resolution images
of interest for plant sciences. These techniques are promising because they match the …

This paper explores the mathematical and algorithmic properties of two sample-based
texture models: random phase noise (RPN) and asymptotic discrete spot noise (ADSN) …

The style of mathematical models known to probabilists as Interacting Particle Systems and
exemplified by the Voter, Exclusion and Contact processes have found use in many …

We evaluated the ability of emmetropic and myopic observers to detect and discriminate blur
across the retina under monocular or binocular viewing conditions. We recruited 39 young …

The covariogram of a measurable set A⊂ Rd is the function gA which to each y∈ Rd
associates the Lebesgue measure of A∩(y+ A). This paper proves two formulas. The first …

Texture synthesis has become an important topic in image processing, with many
fundamental applications in computer vision and image understanding. The purpose of this …

The formation of focused and corresponding foveal images requires a close synergy
between the accommodation and vergence systems. This linkage is usually decoupled in …

In this work, we show that neural networks aimed at solving various image restoration tasks
can be successfully trained on fully synthetic data. In order to do so, we rely on a generative …

Exemplar-based texture synthesis is the process of generating, from an input sample, new
texture images of arbitrary size and which are perceptually equivalent to the sample. The …

This paper proposes a two-stage texture synthesis algorithm. At the first stage, a structure
tensor map carrying information about the local orientation is synthesized from the …