Abstract
To generate photo-realistic images, modern renderers generally use stochastic algorithms such as the path-tracing algorithm. These algorithms can produce high-quality images but may require a long computation time. Therefore, rendering is generally stopped after a given amount of time and the output image may not be fully converged. In this case, the resulting variance can be seen as noise.
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References
Arvo J, Kirk D (1990) Particle transport and image synthesis. SIGGRAPH Comput Graph 24(4):63–66
Goral CM, Torrance KE, Greenberg DP, Battaile B (1984) Modeling the interaction of light between diffuse surfaces. In: Proceedings of the 11th annual conference on computer graphics and interactive techniques, SIGGRAPH ’84, pp 213–222
Pharr M, Humphreys G (2010) Physically based rendering: from theory to implementation, 2nd edn. Morgan Kaufmann Publishers Inc., San Francisco
Veach E, Guibas L (1995) Optimally combining sampling techniques for monte carlo rendering. In: Proceedings of the 22nd annual conference on computer graphics and interactive techniques, SIGGRAPH ’95, pp 419–428
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Bigand, A., Dehos, J., Renaud, C., Constantin, J. (2018). Visual Impact of Rendering on Image Quality. In: Image Quality Assessment of Computer-generated Images. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-73543-6_3
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DOI: https://doi.org/10.1007/978-3-319-73543-6_3
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