Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 12,
  • Issue 3,
  • pp. 030902-
  • (2014)

Computer-generated-hologram-accelerated computing method based on mixed programming

Not Accessible

Your library or personal account may give you access

Abstract

Component object model technology is used to solve problems encountered when using three-dimentional (3D) objects to conduct computer-generated hologram (CGH) fast coding. MATLAB and C/C++ are combined for relevant programming under experimental conditions. The proposed method effectively reduces the time required for holographic encoding of large amounts of 3D object data. The CGHaccelerated computing method based on mixed programming is proven to be highly reliable and practical by testing the 3D data of different data volumes. According to the test results, the proposed method improves the efficiency of holographic encoding. The higher the data volume is, the more significantly the computation speed is improved.

© 2014 Chinese Optics Letters

PDF Article
More Like This
Acceleration of computer-generated holograms using tilted wavefront recording plane method

Daisuke Arai, Tomoyoshi Shimobaba, Koki Murano, Yutaka Endo, Ryuji Hirayama, Daisuke Hiyama, Takashi Kakue, and Tomoyoshi Ito
Opt. Express 23(2) 1740-1747 (2015)

Accelerated synthesis algorithm of polygon computer-generated holograms

Dajeong Im, Jaebum Cho, Joonku Hahn, Byoungho Lee, and Hwi Kim
Opt. Express 23(3) 2863-2871 (2015)

Acceleration and expansion of a photorealistic computer-generated hologram using backward ray tracing and multiple off-axis wavefront recording plane methods

Minyuan Sun, Yuan Yuan, Yong Bi, Shuo Zhang, Jianying Zhu, and Wenping Zhang
Opt. Express 28(23) 34994-35005 (2020)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.