Abstract
Density estimation employed in multi-pass global illumination algorithms give cause to a trade-off problem between bias and noise. The problem is seen most evident as blurring of strong illumination features. In particular this blurring erodes fine structures and sharp lines prominent in caustics. To address this problem we introduce a novel photon mapping algorithm based on nonlinear anisotropic diffusion. Our algorithm adapts according to the structure of the photon map such that smoothing occurs along edges and structures and not across. In this way we preserve the important illumination features, while eliminating noise. We call our method diffusion based photon mapping.
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References
Jensen, H. W.: The Photon Map in Global Illumination. PhD thesis, Technical University of Denmark, Lyngby (1996)
Jensen, H.W.: Realistic image synthesis using photon mapping. A.K. Peters, Ltd, Natick, MA, USA (2001)
Jensen, H.W., Christensen, N.J.: Photon maps in bidirectional monte carlo ray tracing of complex objects. Computers & Graphics 19(2), 215–224 (1995)
Myszkowski, K.: Lighting reconstruction using fast and adaptive density estimation techniques. In: Proceedings of the Eurographics Workshop on Rendering Techniques 1997, pp. 251–262. Springer, London, UK (1997)
Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI 12(7), 629–639 (1990)
Schjøth, L,: Diffusion based photon mapping. Technical report, IT University of Copenhagen, Copenhagen, Denmark (2005)
Schregle, R.: Bias compensation for photon maps. Computer Graphics Forum 22(4), 729–742 (2003)
Shirley, P., Wade, B., Hubbard, P.M., Zareski, D., Walter, B., Greenberg, D.P.: Global illumination via density-estimation. In: Rendering Techniques 1995, pp. 219–230 (1995)
Walter, B.: Density estimation techniques for global illumination. PhD thesis, Cornell University (1998)
Walter, B., Hubbard, P.M., Shirley, P., Greenberg, D.P.: Global illumination using local linear density estimation. ACM Trans. Graph. 16(3), 217–259 (1997)
Weickert, J.: Multiscale texture enhancement. In: Hlaváč, V., Šára, R. (eds.) CAIP 1995. LNCS, vol. 970, pp. 230–237. Springer, Heidelberg (1995)
Weickert, J.: Anisotropic Diffusion in Image Processing. B.G. Teubner, Stuttgart, Germany (1998)
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Schjøth, L., Olsen, O.F., Sporring, J. (2007). Diffusion Based Photon Mapping. In: Braz, J., Ranchordas, A., Araújo, H., Jorge, J. (eds) Advances in Computer Graphics and Computer Vision. Communications in Computer and Information Science, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75274-5_7
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DOI: https://doi.org/10.1007/978-3-540-75274-5_7
Publisher Name: Springer, Berlin, Heidelberg
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