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

Mathematical modelling in actual problems of science and technics

Zhdanov Dmitry Dmitrievich,  ddzhdanov@mail.ru,  Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики

Ershov Sergey Valentinovich,  ersh@gin.keldysh.ru,  orcid.org/0000-0002-5493-1076,  KIAM RAS

Voloboy Alexey Gennadievich,  voloboy@gin.keldysh.ru,  orcid.org/0000-0003-1252-8294,  KIAM RAS