Knowledge of human perception has long been incorporated into visualizations to enhance
their quality and effectiveness. The last decade, in particular, has shown an increase in …

We introduce a new concept for accelerating realistic image synthesis algorithms. At the
core of this procedure is a novel physical error metric that correctly predicts the perceptual …

The wide variety of distortions that images are subject to during acquisition, processing,
storage, and reproduction can degrade their perceived quality. Since subjective evaluation …

Within computer graphics, the field of predictive rendering is concerned with those methods
of image synthesis that yield results that do not only look real, but are also radiometrically …

This paper aims to give a survey of full-reference image quality metrics, including metrics
specifically designed to evaluate image quality, but also metrics for image difference, image …

In this paper, we propose to solve the global illumination problem through a progressive
rendering method relying on an adaptive sampling of the image space. The refinement of …

Occlusion culling and level‐of‐detail rendering have become two powerful tools for
accelerating the handling of very large models in real‐time visualization applications. We …

In this paper we introduce a new perceptual metric for efficient, high quality, global
illumination rendering. The metric is based on a rendering-by-components framework in …

The aim of our research is to assess image quality of prints without the involvement of
human observers. The printing industry is continuously moving forward as new products and …

We present a technique for creating a smoothly varying sequence of procedural textures that
interpolates between arbitrary input samples of texture. This texture transformation uses a …