PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 5, 2025Journal of Imaging6 citationsOpen Access

Camera-in-the-Loop Realization of Direct Search with Random Trajectory Method for Binary-Phase Computer-Generated Hologram Optimization

View Full Paper
ЕZЕ. Yu. ZlokazovNational Research Nuclear University MEPhIPCPavel A. CheremkhinNational Research Nuclear University MEPhI

Key Points

  • Holographic image quality improved using optimized binary-phase computer-generated holograms.
  • Results indicated significant reduction in speckle noise with enhanced optical performance in systems.
  • Analysis using a direct search method in camera-in-the-loop setup for optimization of CGH models.
  • Optimization techniques may enable higher fidelity in holographic systems, addressing noise from optical components.

Abstract

High-speed realization of computer-generated holograms (CGHs) is a crucial problem in the field of modern 3D visualization and optical image processing system development. Binary CGHs can be realized using high-resolution, high-speed spatial light modulators such as ferroelectric liquid crystals on silicon devices or digital micro-mirror devices providing the high throughput of optoelectronic systems. However, the quality of holographic images restored by binary CGHs often suffers from distortions, background noise, and speckle noise caused by the limitations and imperfections of optical system components. The present manuscript introduces a method based on the optimization of CGH models directly in the optical system with a camera-in-the-loop configuration using effective direct search with a random trajectory algorithm. The method was experimentally verified. The results demonstrate a significant enhancement in the quality of the holographic images optically restored by binary-phase CGH models optimized through this method compared to purely digitally generated models.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zlokazov et al. (2025) studied this question.

synapsesocial.com/papers/6940224e2d562116f28fc0ebhttps://doi.org/10.3390/jimaging11120434
Ask AI
Helpful
Bookmark
Share
View Full Paper