Visualizing and Communicating Errors in Rendered Images
In rendering research and development, it is important to have a formalizedway of visualizing and communicating how and where errors occur whenrendering with a given algorithm. Such evaluation is often done by comparingthe test image to a ground-truth reference image. We present a tool for doingthis for both low and high dynamic range images. Our tool is based on aperception-motivated error metric
