Hyperspectral images (HSIs) have high spectral resolution, but they suffer from low spatial
resolution. In this paper, a new learning-based approach for super-resolution (SR) using the …

In this study human color constancy was tested for two-dimensional (2D) and three-
dimensional (3D) setups with real objects and lights. Four different illuminant changes, a …

Naive observers viewed a sequence of colored Mondrian patterns, simulated on a color
monitor. Each pattern was presented twice in succession, first under one daylight illuminant …

How many colors are there? Quoted numbers range from ten million to a dozen. Are colors
object properties? Opinions range all the way from of course they are to no, colors are just …

Edge-preserving filtering is an essential tool for image processing applications and has
various types of filtering. High-dimensional Gaussian filtering (HDGF) supports a wide range …

Many aspects of visual coding have been successfully predicted by starting from the
statistics of natural scenes and then asking how the stimulus could be efficiently …

Images captured under bad weather conditions suffer from poor contrast and visibility. These
effects are noticeable for haze, mist, fog, or dust storms. We have proposed a recovering …

Performance of multispectral devices in recovering spectral data has been intensively
investigated in some applications, as in spectral characterization of art paintings, but has …

We introduce a new feature extraction model for purposes of image comparison,
visualization and interpretation. We define the notion of spectral saliency, as the extent to …

Colour constancy is the ability to recognize the colour of objects despite spectral changes in
the natural illumination. As such, this phenomenon is important for most organisms with …