Quite independently of what they represent, some images provoke discomfort, and even
headaches and seizures in susceptible individuals. The visual system has adapted to …

Most existing color constancy algorithms assume uniform illumination. However, in real-
world scenes, this is not often the case. Thus, we propose a novel framework for estimating …

This paper presents a non-iterative deep learning approach to compressive sensing (CS)
image reconstruction using a convolutional autoencoder and a residual learning network …

Given that phishing is an ever-increasing problem, a better authentication system is
required. We propose a system that uses a graphical password deployed from a Trojan and …

In this paper we present an upgraded version of an image database (IDB) presented here in
2003 to test color constancy and other kinds of visual and image processing algorithms. Big …

Color distortion which is caused by different illuminations and different camera settings in
imaging process, incurs many problems. To overcome these problems, color correction is …

Intrinsic characterization of scenes is often the best way to overcome the illumination
variability artifacts that complicate most computer vision problems, from 3D reconstruction to …

Introduction Studies of categorical decision-making attempt to understand behavior by
probing how different features of complex and changing environments guide the selection of …

This document is an updated version of the previous “QUALINET Multimedia Databases v5.
5”, which lists and summarizes basic description of available multimedia databases based …

Current image acquisition devices require tremendous amounts of storage for saving the
data returned. This paper overcomes the latter drawback through proposing a colour …