A Monte Carlo-based approach to reduce the cost of generating synthetic holograms for 3D computer graphics scenes

Abstract

AbstractSimilar to computer graphics, the digital approach of holography (Computer Genarated Holograms) inherently samples the world. Calculating CGHs needs additional phase-related calculations, elevating computational demands.These calculations can make the development time excessively long or, in the worst case, unaffordable. Our approach, Partial Monte Carlo Sampling (PMCS), calculates CGHs via Monte Carlo techniques. By varying sampling resolution and ray percentages, reasonable quality is achieved, even with fewer rays. Quality analysis employing RMSE and CC reveals that reducing ray percentages does not severely compromise image quality. Both simulated and laboratory holograms display consistent trends, showcasing improved quality with increased rays and resolution. A direct relationship is established between image quality and computational time, addressing specific needs.