We measured how well perception of color saturation in natural scenes can be predicted by
different measures that are available in the literature. We presented 80 color images of …

Tensor completion and robust principal component analysis have been widely used in
machine learning while the key problem relies on the minimization of a tensor rank that is …

Hyperspectral imaging has been attracting considerable interest as it provides spectrally rich
acquisitions useful in several applications, such as remote sensing, agriculture, astronomy …

We report a hyperspectral imaging system to measure the reflectance spectra of real human
irises with high spatial resolution. A set of ocular prosthesis was used as the control …

It is well known that the honeybee has good color vision. However, the spectral range in
which the bee can see is different from that of the human eye. To study how bees view their …

This paper describes the design, implementation and performance of a flat edge-based
circuit extractor for NMOS circuits. The extractor is able to work on large and complex …

Computational spectral imaging aims to reconstruct the entire 3D spectral cube from a few
compressive measurements. Recently different spectral imaging modalities have been …

Multispectral imaging, which extends the number of imaging channels beyond the
conventional three, has demonstrated to be beneficial for a wide range of applications. Its …

In a previous work [J. Opt. Soc. Am. A 24, 942-956 (2007)] we showed how to design an
optimum multispectral system aimed at spectral recovery of skylight. Since high-resolution …

Color vision deficiency (CVD) has gained in relevance in the last decade, with a surge of
proposals for aid systems that aim to improve the color discrimination capabilities of CVD …