164056 20251121161351.0 doi 10.3390/s25206492 sideral 146131 ART-2025-146131 eng Serón, Francisco J. Universidad de Zaragoza (orcid)0000-0003-1683-4694 Workflow Analysis for CGH Generation with Speckle Reduction and Occlusion Culling Using GPU Acceleration 2025 Although GPUs are widely used in Computer-Generated Holography (CGH), their specific application to concrete problems such as occlusion or speckle filtering through temporal multiplexing is not yet standardized and has not been fully explored. This work aims to optimize the software architecture by taking the GPU architecture into account in a novel way for these particular tasks. We present an optimized algorithm for CGH computation that provides a joint solution to the problems of speckle noise and occlusion. The workflow includes the generation and illumination of a 3D scene, the calculation of the CGH including color, occlusion, and temporal speckle-noise filtering, followed by scene reconstruction through both simulation and experimental methods. The research focuses on implementing a temporal multiplexing technique that simultaneously performs speckle denoising and occlusion culling for point clouds, evaluating two types of occlusion that differ in whether the occlusion effect dominates over the depth effect in a scene stored in a CGH, while leveraging the parallel processing capabilities of GPUs to achieve a more immersive and high-quality visual experience. To this end, the total computational cost associated with generating color and occlusion CGHs is evaluated, quantifying the relative contribution of each factor. The results indicate that, under strict occlusion conditions, temporal multiplexing filtering does not significantly impact the overall computational cost of CGH calculation. Access copy available to the general public Unrestricted info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Blesa, Alfonso Universidad de Zaragoza (orcid)0000-0001-9688-2260 Sanz, Diego Universidad de Zaragoza 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 25, 20 (2025), 6492 [21 pp.] Sensors Sensors 1424-8220 14410142 http://zaguan.unizar.es/record/164056/files/texto_completo.pdf Versión publicada 2433789 http://zaguan.unizar.es/record/164056/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:164056 articulos driver 2025-11-21-14:25:37 ARTICLE