The eye is a remarkably intricate organ, encompassing various health-related biophysical
signals and biochemical signals. Smart contact lenses (SCLs) have emerged as wearable …

Shadow is one of the major problems in remotely sensed imagery which hampers the
accuracy of information extraction and change detection. In these images, shadow is …

Rain streaks, particularly in heavy rain, not only degrade visibility but also make many
computer vision algorithms fail to function properly. In this paper, we address this visibility …

Color naming, which relates colors with color names, can help people with a semantic
analysis of images in many computer vision applications. In this paper, we propose a novel …

Computational color constancy is a fundamental prerequisite for many computer vision
applications. This paper presents a survey of many recent developments and state-of-the-art …

Color constancy is the ability to measure colors of objects independent of the color of the
light source. A well-known color constancy method is based on the gray-world assumption …

Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging
task. Typically, these images suffer from low contrast, complex background, variations in …

In this paper a methodological approach to the classification of pigmented skin lesions in
dermoscopy images is presented. First, automatic border detection is performed to separate …

We explore the zero-shot setting for day-night domain adaptation. The traditional domain
adaptation setting is to train on one domain and adapt to the target domain by exploiting …

This paper is concerned with the derivation of a progression of shadow-free image
representations. First, we show that adopting certain assumptions about lights and cameras …