Jérôme Buisine

Université du Littoral Côte d'Opale (ULCO) | ULCO · Laboratoire d’Informatique, Signal et Image de la Côte d’opale - LISIC

Estimating the rendering equation using Monte Carlo methods produces photorealistic images by evaluating a large number of samples of the rendering equation per pixel. The final value for each pixel is then calculated as the average of the contribution of each sample. The mean is a good estimator, but not necessarily robust which explains the appea...

The estimation of image quality and noise perception still remains an important issue in various image processing applications. It has also become a hot topic in the field of photo-realistic computer graphics where noise is inherent in the calculation process. Unlike natural-scene images, however, a reference image is not available for computer-gen...

Current methods for generating realistic computer-generated images rely on stochastic lighting simulation techniques based on a Monte Carlo approach. These Monte Carlo simulations construct light paths between the camera and light sources within the virtual 3D model to calculate the appearance of objects and provide realistic images. Insufficient s...

Les méthodes de simulation de l'éclairage, utilisées en synthèse d'images, permettent d'obtenir des vues dites photo-réalistes d'environnements virtuels 3D. Pour ce faire, elles utilisent des méthodes stochastiques, s'appuyant sur la théorie des grands nombres, qui explorent l'espace des chemins lumineux et se caractérisent par une convergence prog...