Quality assessment in computer graphics

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Abstract

In this chapter, we review the existing works regarding visual quality assessment in computer graphics. This broad area of research includes many sub-domains which make intensive use of quality assessment and/or artifact 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 artifacts introduced in 2D rendered images and videos) and model-based approaches (i.e., artifacts introduced on the 3D models themselves). Finally, the last part presents the emerging trends and main future directions.

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Lavoué, G., & Mantiuk, R. (2015). Quality assessment in computer graphics. In Visual Signal Quality Assessment: Quality of Experience (QoE) (pp. 243–286). Springer International Publishing. https://doi.org/10.1007/978-3-319-10368-6_9

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