by Prof. Dr. Jesús Malo  At the cortical level, spatial texture, motion and color is encoded as a set of responses of wavelet sensors tuned to certain spatio-temporal frequencies and certain directions of the color space. These sensors have different linear gain and...

by Prof. Dr. Brian A. Wandell  The number and type of imaging systems has grown enormously over the last several decades; these systems are an essential component in mobile communication, medicine, automotive and drone applications. Imaging systems are also...

by Prof. Dr. Mark D. Fairchild   This presentation will review some highlights of the development and application of the iCAM image color appearance model and related work. This will be accomplished through the review of six publications that address a multi scale...

by Prof. Dr. Rafał K. Mantiuk An image shown on a dark display will appear differently than an image shown on a bright display. The image appearance will also differ with the viewing distance, ambient light and the age of an observer. To improve the experience of...

by Prof. José Camacho Do you have complicated data? Difficult to understand? With thousands of variables/observations? Missing data? Time series? Multiple sources? Big Data? … There is a bunch of Machine Learning (ML) methods that can do difficult tasks for us (like...

by Prof. Marius Pedersen We will start the presentation with a short introduction to the most common techniques for carrying out subjective image quality experiments, as well as introducing their advantages and disadvantages. Further, a tool (QuickEval) to carry out...

by Prof. Dr. Miguel Ángel García Pérez The psychometric function describes how performance on a perceptual task varies with stimulus magnitude. Typically, the data follow a sigmoidal path and the analysis involves fitting a convenient and largely arbitrary function to...