Hyperspectral imaging is an important visual modality with growing interest and range of
applications. The latter, however, is hindered by the fact that existing devices are limited in …

We gathered hyperspectral images of natural, foliage-dominated scenes and converted
them to human cone quantal catches to characterize the second-order redundancy present …

In understanding how visual signals function, quantifying the components of those patterns
is vital. With the ever-increasing power and availability of digital photography, many studies …

Hyperspectral (HS) imaging provides rich spatial and spectral information and extends
image inspection beyond human perception. Existing approaches, however, suffer from …

Very recent Galliani et al. proposed a method using a very deep CNN architecture or
learned spectral reconstruction and showed large improvements over the recent sparse …

Color perception depends profoundly on adaptation processes that adjust sensitivity in
response to the prevailing pattern of stimulation. We examined how color sensitivity and …

This paper focuses on the methodology for perceptual image fusion assessment through
comparative tests and validation of objective fusion evaluation metrics. Initially, the theory of …

Chromatic and achromatic (AC) assessments of camouflage textiles have been critical to the
defense researchers for concealment, detection, recognition, and identification (CDRI) of …

The spatial filtering applied by the human visual system appears to be low pass for
chromatic stimuli and band pass for luminance stimuli. Here we explore whether this …

The human visual system shows a relatively greater response to low spatial frequencies of
chromatic spatial modulation than to luminance spatial modulation [1]. However, previous …