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KIAM Preprint № 194, Moscow, 2018
Authors: Zhdanov D.D., Ershov S. V., Voloboy A.G.
Method of denoising for the image generated by Monte Carlo ray tracing preserving small details
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.
realistic rendering, ray tracing, Monte-Carlo ray tracing, filtering, denoising
Publication language: russian,  pages: 15
Research direction:
Mathematical modelling in actual problems of science and technics
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About authors:
  • Zhdanov Dmitry Dmitrievich,  ,  Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики
  • Ershov Sergey Valentinovich, RAS
  • Voloboy Alexey Gennadievich, RAS