Object detection in hyperspectral images is an important task for many applications. While
most traditional methods are pixel-based, many recent efforts have been put on extracting …

We examined how the distribution of colors in natural images varies as the seasons change.
Images of natural outdoor scenes were acquired at locations in the Western Ghats, India …

We present a new method for the visualization of spectral images, based on a selection of
three relevant spectral channels to build a red–green–blue composite. Band selection is …

To what extent do observers' judgments of surface color with natural scenes depend on
global image statistics? To address this question, a psychophysical experiment was …

Hyperspectral images can provide rich clues for various computer vision tasks. However, the
requirements of professional and expensive hardware for capturing hyperspectral images …

LED illumination based multispectral imaging is getting much attention in recent years due
to its fast computer controlled switching ability, availability of many different LEDs …

Mechanisms of human color vision are characterized by two phenomenological aspects: the
system is nonlinear and adaptive to changing environments. Conventional attempts to …

Observers use a wide range of color names, including white, to describe monochromatic
flashes with a retinal size comparable to that of a single cone. We model such data as a …

This work presents a spectral color-imaging procedure for the detailed colorimetric study of
real artworks under arbitrary illuminants. The results demonstrate this approach to be a …

The illumination in natural environments varies through the day. Stable inferences about
surface color might be supported by spatial ratios of cone excitations from the reflected light …