We propose a novel deep learning method for shadow removal. Inspired by physical models
of shadow formation, we use a linear illumination transformation to model the shadow effects …

The use of smartphone‐based analysis systems has been increasing over the past few
decades. Among the important reasons for its popularity are its ubiquity, increasing …

Consumer cameras, particularly onboard smartphones and UAVs, are now commonly used
as scientific instruments. However, their data processing pipelines are not optimized for …

We propose a novel deep learning method for shadow removal. Inspired by physical models
of shadow formation, we use a linear illumination transformation to model the shadow effects …

Counterfeit medicines are a fundamental healthcare problem, threatening patient safety and
public health as well as causing economic damage. Online pharmacies and the ongoing …

Mobile phone cameras are often significantly more useful than professional digital single-
lens reflex (DSLR) cameras. Knowledge of the camera spectral sensitivity function is …

Although blood hemoglobin (Hgb) testing is a routine procedure in a variety of clinical
situations, noninvasive, continuous, and real-time blood Hgb measurements are still …

Spectral response (or sensitivity) functions of a three-color image sensor (or trichromatic
camera) allow a mapping from spectral stimuli to RGB color values. Like biological …

Hyperspectral imaging acquires data in both the spatial and frequency domains to offer
abundant physical or biological information. However, conventional hyperspectral imaging …

In contrast to the current literature, we address the problem of estimating the spectrum from a
single common trichromatic RGB image obtained under unconstrained settings (eg …