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Chapitre D'ouvrage Année : 2015

Quality Assessment in Computer Graphics

Rafal Mantiuk
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Résumé

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.

Dates et versions

hal-01174422 , version 1 (09-07-2015)

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Citer

Guillaume Lavoué, Rafal Mantiuk. Quality Assessment in Computer Graphics. Visual Signal Quality Assessment – Quality of Experience (QoE), Springer, pp.243-286, 2015, 978-3-319-10368-6. ⟨10.1007/978-3-319-10368-6_9⟩. ⟨hal-01174422⟩
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