Title

Digital holographic image reconstruction and GPU acceleration

Authors

Danielle Lopez, Rowan University
Ivan Mazo, Kean University
Shuqun Zhang, College of Staten Island

Document Type

Conference Proceeding

Publication Date

2-7-2017

Abstract

This REU project estimates the reference wave intensity needed by two-step-only quadrature phase shifting holography for 3D object recording and reconstruction, and implements digital holographic image reconstruction algorithms on a GPU to meet the real-time processing requirement. The performance on various image sizes is measured and compared between GPU-based and CPU-based implementations. The results show that using GPU to accelerate two-step-only quadrature phase-shifting digital holography can provide significant speedup.

Publication Title

37th IEEE Sarnoff Symposium, Sarnoff 2016

DOI

10.1109/SARNOF.2016.7846731

Recommended Citation

Lopez, Danielle; Mazo, Ivan; and Zhang, Shuqun, "Digital holographic image reconstruction and GPU acceleration" (2017). Kean Publications. 1634.
https://digitalcommons.kean.edu/keanpublications/1634