In this work, we examined the color tuning of units in the hidden layers of AlexNet, VGG-16
and VGG-19 convolutional neural networks and their relevance for the successful …

The aim of computational color constancy is to estimate the actual surface color in an
acquired scene disregarding its illuminant. Many solutions try to first estimate the illuminant …

We describe a simulation of the complete image processing pipeline of a digital camera,
beginning with a radiometric description of the scene captured by the camera and ending …

One hypothesis to explain the aesthetics of paintings is that it depends on the extent to
which they mimic natural image statistics. In fact, paintings and natural scenes share several …

Although the retinal image is typically polychromatic, few studies have examined
polychromatic image quality in the human eye. We begin with a conceptual framework …

Animal coloration patterns, from zebra stripes to bird egg speckles, are remarkably varied.
With research on the perception, function, and evolution of animal patterns growing rapidly …

Color constancy is the ability to assign a constant color to an object independent of changes
in illumination. Color constancy is achieved by taking context information into account …

Blind compressive sensing (CS) is considered for reconstruction of hyperspectral data
imaged by a coded aperture camera. The measurements are manifested as a superposition …

EnChroma filters are aids designed to improve color vision for anomalous trichromats. Their
use is controversial because the results of lab-based assessments of their effectiveness …

Many spectral‐recovery methods using RGB digital cameras assume the underlying
smoothness of illuminant and reflectance spectra, and apply low‐dimensional linear models …