000148959 001__ 148959
000148959 005__ 20250123152146.0
000148959 0247_ $$2doi$$a10.1002/eng2.13109
000148959 0248_ $$2sideral$$a142102
000148959 037__ $$aART-2025-142102
000148959 041__ $$aeng
000148959 100__ $$0(orcid)0000-0002-3355-0055$$aMagallón, Juan A.$$uUniversidad de Zaragoza
000148959 245__ $$aMonte–Carlo Techniques Applied to CGH Generation Processes and Their Impact on the Image Quality Obtained
000148959 260__ $$c2025
000148959 5060_ $$aAccess copy available to the general public$$fUnrestricted
000148959 5203_ $$aComputer graphics aim to create visual representations for screens, where depth is simulated. In contrast, Computed Generated Holograms (CGH) focus on encoding and recreating light patterns to generate a true 3D holographic image that appears as a physical object in space. Therefore, although both use digital models, the computation of CGHs necessitates additional phase‐related calculations, which in turn escalate computational demands. These calculations often result in excessively long development times or, at worst, render the process unfeasible. In order to reduce computational time, Partial Monte–Carlo Sampling (PMCS) techniques for CGH generation are presented, integrating them into the whole process of generating a CGH for a synthetic 3D scene, from design to rendering. PMCS is based on the random choice of a subset of rays used to compute the CGH and relates the computation time spent to the quality of the reconstructed scene. Quantitative analysis shows that PMCS does not significantly compromise image quality. Both simulated and in‐laboratory image reconstruction from holograms demonstrates consistent trends, showcasing improved quality with higher numbers of rays and increased resolution. Furthermore, we establish a direct relationship between image quality and computational time, which effectively addresses specific requirements.
000148959 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000148959 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000148959 700__ $$0(orcid)0000-0001-9688-2260$$aBlesa, Alfonso$$uUniversidad de Zaragoza
000148959 700__ $$0(orcid)0000-0003-1683-4694$$aSerón, Francisco J.$$uUniversidad de Zaragoza
000148959 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000148959 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000148959 773__ $$g7, 1 (2025), e13109 [13 pp.]$$tEngineering reports$$x2577-8196
000148959 8564_ $$s396651$$uhttps://zaguan.unizar.es/record/148959/files/texto_completo.pdf$$yVersión publicada
000148959 8564_ $$s2242035$$uhttps://zaguan.unizar.es/record/148959/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000148959 909CO $$ooai:zaguan.unizar.es:148959$$particulos$$pdriver
000148959 951__ $$a2025-01-23-14:47:52
000148959 980__ $$aARTICLE