Holovibes: real-time ultrahigh-speed digital hologram rendering and short-time analysis

TL;DR

Holovibes is a GPU-accelerated software system that enables real-time, high-throughput digital hologram rendering and analysis at 71,400 frames per second with minimal latency, advancing computational imaging capabilities.

Contribution

The paper introduces Holovibes, a novel high-performance software engine that combines advanced spatial and temporal processing techniques with GPU acceleration for real-time hologram reconstruction.

Findings

Achieves 71,400 fps hologram rendering on commodity hardware.

Maintains end-to-end latency of 30 ms.

Supports simultaneous raw and processed data recording.

Abstract

Real-time ultrahigh-speed rendering of digital holograms from high-bitrate interferogram streams demands robust parallel computing and efficient data handling with minimal latency. We present Holovibes, a high-performance software engine that enables real-time holographic image reconstruction and short-time analysis at unprecedented throughput. Holovibes integrates spatial demodulation techniques, such as Fresnel transformations and angular spectrum propagation, with temporal analysis methods including short-time Fourier transform (STFT) and principal component analysis (PCA) in a unified pipeline. By leveraging CUDA-based GPU acceleration, multithreaded parallelism, and efficient buffering, the system achieves high-throughput, low-latency processing suitable for demanding computational imaging applications. We demonstrate sustained real-time hologram rendering of 256x256-pixel from interferograms acquired by a streaming camera at 71,400 frames per second on commodity hardware with no frame loss, while maintaining an end-to-end latency of 30 ms. The engine also supports simultaneous recording of raw or processed data, enabling high-speed acquisition workflows essential for experimental applications. This work represents a significant advance over prior digital holography systems and provides a versatile platform for ultra-high-speed, real-time computational imaging.