This tutorial offers an introduction to terrestrial and close-range hyperspectral imaging and
some of its uses in human color vision research. The main types of hyperspectral cameras …

The performance of multiimage alignment, bringing different images into one coordinate
system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions. A …

In this paper, we make a systematic use of the quantum measurement theory to describe
perceived colours and analyse some of their fundamental properties. After motivating the …

Deep convolutional neural networks are a class of machine-learning algorithms capable of
solving non-trivial tasks, such as object recognition, with human-like performance. Little is …

In this paper, we provide an overview on the foundation and first results of a very recent
quantum theory of color perception, together with novel results about uncertainty relations …

We propose a mathematical description of human color perception that relies on a
hyperbolic structure of the space PP of perceived colors. We show that hyperbolicity allows …

Land and McCann introduced the retinex model as a computational theory of color vision.
However, retinex details were described algorithmically rather than mathematically. Soon …

Deep learning methods for image restoration have produced impressive results over recent
years. Nevertheless, they generalize poorly and need large learning image datasets to be …

In this contribution it is shown how a recent quantum information-based theory of color
perception permits to account in a natural way for several well-known properties and also to …

The problem of explaining color perception has fascinated painters, philosophers and
scientists throughout the history. In many cases, the ideas and discoveries about color …