VISUAL IMAGE PROCESSING LABORATORY
A research project on computational vision science.
Funded by Generalitat Valenciana under grant AICO-2020-136 (VIPLab) and CIAICO/2022/051 (IMaLeVICS)
Fuzzy Eigenvector Image Smoothing Method Khleef Almutairi, Samuel Morillas and Pedro Latorre-Carmona. "Fuzzy Inference Systems to Fine-Tune a Local Eigenvector Image Smoothing Method", published in Electronics 2024, 13, 1150. This paper introduces a new method for...
Our proposal of a new fidelity measure between computed image quality and observers quality scores Pedro Latorre-Carmona, Rafael Huertas, Marius Pedersen and Samuel Morillas. Proposal of a new fidelity measure between computed image quality and observers quality...
The color difference formula used was CIEDE2000 In this post, we share the two articles published in which we explain the fuzzy method for the detection of inconsistent data in experimental datasets of perceptual color differences. The results have been obtained using...
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...
by Prof. Dr. Alejandro Parraga Psychophysics is the branch of experimental psychology concerned with the relationship between a given physical stimulus and the sensation elicited by that stimulus. It has two remarkable roles, to describe and specify the sensory...
by Prof. Michael Murdoch Displays are ubiquitous in the modern visual environment, and they require high image quality and reliable color reproduction. This lecture will connect the basics of color perception to the physics and operation of display technologies...