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This article is cited in 1 scientific paper (total in 1 paper)
Method of denoising for the image generated by Monte Carlo ray tracing preserving small details
D. D. Zhdanov, S. V. Ershov, A. G. Voloboy
Abstract:
Monte-Carlo methods of ray tracing allow generating physically correct images of virtual scenes, reproducing a large number of optical effects. However, the resulting image contains noise inherent in stochastic algorithms. An original method of denoising in these images is proposed. Small-scale details of the image are not distorted because they are taken from an auxiliary, reference image constructed by a deterministic ray tracing. The reference image allows you to extract the secondary lighting component which is usually a smooth function and allows for efficient filtering. After multiplying its result by an auxiliary deterministic image, a sharp picture is obtained with preservation of small details and with greatly reduced noise.
Keywords:
realistic rendering, ray tracing, Monte-Carlo ray tracing, filtering, denoising.
Citation:
D. D. Zhdanov, S. V. Ershov, A. G. Voloboy, “Method of denoising for the image generated by Monte Carlo ray tracing preserving small details”, Keldysh Institute preprints, 2018, 194, 15 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2553 https://www.mathnet.ru/eng/ipmp/y2018/p194
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Abstract page: | 124 | Full-text PDF : | 80 | References: | 7 |
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