Quality Assessment in Computer Graphics

In this chapter, we review the existing works regarding visual quality assessment in computer graphics. This broad area of research includes many subdomains which make intensive use of quality assessment and/or artefact visibility evaluation: geometry processing, rendering, HDR imaging, tone mapping and stereo vision. For each of these sub-domains, we present the existing objective quality metrics, the subjective quality experiments as well as an evaluation and comparison of their performance. We broadly classify these existing works into image-based (i.e. evaluating artefacts introduced in 2D rendered images and videos) and model-based approaches (i.e. artefacts introduced on the 3D models themselves). Finally, the last part presents the emerging trends and main future directions. This is authors’ postprint version of the chapter in the book Visual Signal Quality Assessment edited by Chenwei Deng, Lin Ma, Weisi Lin, King Ngi Ngan, Springer, 2014. http://dx.doi.org/10.1007/978-3-319-10368-6 9