Image quality assessment

Evaluating and Improving Rendered Visual Experiences

Rendered imagery is presented to us daily. Special effects in movies, video games, scientific visualizations, and marketing catalogs all often rely on images generated through computer graphics. However, with all the possibilities that rendering …

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 …

Visualizing Errors in Rendered High Dynamic Range Images

A new error metric targeting rendered high dynamic range images is presented. Our method computes a composite visualization over a number of low dynamic range error maps of exposure compensated and tone mapped image pairs with automatically computed, …

ꟻLIP: A Difference Evaluator for Alternating Images

Image quality measures are becoming increasingly important in the field of computer graphics. For example, there is currently a major focus on generating photorealistic images in real time by combining path tracing with denoising, for which such …

Understanding SSIM

The use of the structural similarity index (SSIM) is widespread. For almost two decades, it has played a major role in image quality assessment in many different research disciplines. Clearly, its merits are indisputable in the research community. …