This article is cited 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.

DOI: 10.20948/prepr-2018-194

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