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.We provide an analysis of the existing methods for calculating parasitic illumination, methods for its analysis, and visualization. To search for and analyze the sources of stray light in optical devices, a software model of the beam propagation criterion in an optical device is proposed, which makes it possible to select beams that satisfy a given criterion. We consider the possibility of using the method of bidirectional progressive stochastic ray tracing with inverse photon maps to calculate the stray illumination of an image and analyze the causes of its occurrence. To analyze the sources of stray illumination on the radiation detector, it was proposed to use progressive photon maps, which calculated the caustic and secondary components of the illumination and fixed the image illumination on a static regular mesh attached to the surfaces of the optical device. Special visualization tools allow the display of this illumination over the image of an optical device and determination of the elements of the device that have the greatest impact on the level of stray illumination of the image. We present examples of calculation, analysis, and visualization of parasitic illumination of a number of optical systems of lenses with real mechanical structures.

In this paper, we consider the problem of calculating the effective protection of an image from spurious radiation, one of the causes of which is the scattering of light on non-imaging elements of an optical device. The purpose of this work is to improve the means of searching and visualizing the sources of parasitic illumination of an image for designing and analyzing the light protection of optical devices. A visualization of the spurious radiation illumination distribution on the surfaces of an optical device is proposed. The global illumination calculation is based on an advanced bi- directional stochastic ray tracing method with backward photon maps. This method is highly efficient, since it simultaneously uses direct and backward photon maps, which accumulate the distributions of the areas of light emission and the visibility of the scattering elements of the optical device, respectively. The method allows representing the average illumination of the image, accumulated on the diffuse objects of the optical device that form the given illumination. By visualizing it, you can more effectively and clearly find the elements of the optical device that create spurious illumination in the image and degrade the image quality. With this information, the designer of an optical device can develop special means of light protection or use special light- absorbing coatings for such elements. The proposed algorithms were implemented in the Lumicept software package, with the help of which the scattered light in the lens objective was calculated and the result of the stray illumination visualization was presented.

A study of the causes of the conflict of vergence-accommodation of human vision in virtual and mixed reality systems has been conducted. Technical and algorithmic approaches to reduce and eliminate the conflict of vergence-accommodation in virtual reality systems are considered. As a technical solution, an approach was chosen that provides adaptive focusing of the eyepiece of a virtual reality system to the convergence point of a person's eyes, determined by the tracking system of his pupils. Possible algorithmic solutions providing focusing of the virtual reality image in accordance with the expected accommodation of human eyes are considered. As the main solutions, we consider the classical solution of image filtering in accordance with defocusing caused by natural accommodation at a given distance, and a solution in which the corresponding filtering is performed using neural network technologies. The advantages and disadvantages of the proposed solutions are considered. As a criterion of correctness, a visual comparison of the results of image defocusing with the solution obtained by physically correct rendering using a human eye model was used. The method of bidirectional stochastic ray tracing using backward photon maps was used as the basis for physically correct rendering. The paper presents an analysis of the advantages and disadvantages of the proposed solutions.

A study was made of the causes of the vergence-accommodation conflict of human vision in virtual and mixed reality systems. The technical and algorithmic approaches to reduce and eliminate the vergence-accommodation conflict in virtual reality systems are considered. As a technical solution, an approach was chosen that provides adaptive focusing of the eyepiece of the virtual reality system to the point of convergence of the human eyes, determined by the tracking system of his pupils. Possible algorithmic solutions are considered that provide focusing of the virtual reality image in accordance with the expected accommodation of human eyes. The main solutions are the classical solution of image filtering in accordance with the defocusing caused by natural accommodation at a given distance, and the solution in which the corresponding filtering is performed using neural network technologies. The advantages and disadvantages of the proposed solutions are considered. As a criterion of correctness, we used a visual comparison of the results of image defocusing with the solution obtained by the method of physically correct rendering using the human eye model. As a basis for physically correct rendering, the method of bidirectional stochastic ray tracing with backward photon maps was used. The paper presents an analysis of the advantages and disadvantages of the proposed solutions.