The optimizations of CGH generation algorithms based on multiple GPUs for 3D dynamic holographic display

Dan Yang; Juan Liu; Yingxi Zhang; Xin Li; Yongtian Wang

doi:10.1117/12.2246755

19 October 2016 The optimizations of CGH generation algorithms based on multiple GPUs for 3D dynamic holographic display

Dan Yang, Juan Liu, Yingxi Zhang, Xin Li, Yongtian Wang

Author Affiliations +

Proceedings Volume 10153, Advanced Laser Manufacturing Technology; 101530R (2016) https://doi.org/10.1117/12.2246755
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

Holographic display has been considered as a promising display technology. Currently, low-speed generation of holograms with big holographic data is one of crucial bottlenecks for three dimensional (3D) dynamic holographic display. To solve this problem, the acceleration method computation platform is presented based on look-up table point source method. The computer generated holograms (CGHs) acquisition is sped up by offline file loading and inline calculation optimization, where a pure phase CGH with gigabyte data is encoded to record an object with 10 MB sampling data. Both numerical simulation and optical experiment demonstrate that the CGHs with 1920×1080 resolution by the proposed method can be applied to the 3D objects reconstruction with high quality successfully. It is believed that the CGHs with huge data can be generated by the proposed method with high speed for 3D dynamic holographic display in near future.

Citation Download Citation

Dan Yang, Juan Liu, Yingxi Zhang, Xin Li, and Yongtian Wang "The optimizations of CGH generation algorithms based on multiple GPUs for 3D dynamic holographic display", Proc. SPIE 10153, Advanced Laser Manufacturing Technology, 101530R (19 October 2016); https://doi.org/10.1117/12.2246755

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