Visualizing and Communicating Errors in Rendered Images

In rendering research and development, it is important to have a formalized way of visualizing and communicating how
and where errors occur when rendering with a given algorithm. Such evaluation is often done by comparing the test
image to a ground-truth reference image. We present a tool for doing this for both low and high dynamic range images.
Our tool is based on a perception-motivated error metric, which computes an error map image. For high dynamic range
images, it also computes a visualization of the exposures that may generate large errors.

Publication Date: 
Wednesday, August 4, 2021