Efficiency of Phase Unwrapping and Image Filtering Algorithms Implemented in a Fpga Applied on Holographic Interferometry

Authors

  • Víctor Manuel Juárez Núñez Center for Research in Engineering and Applied Sciences
  • Darwin Mayorga Cruz Center for Research in Engineering and Applied Sciences
  • Álvaro Zamudio Lara Center for Research in Engineering and Applied Sciences
  • J. Jesús Escobedo Alatorre Center for Research in Engineering and Applied Sciences

DOI:

https://doi.org/10.13053/cys-23-1-3140

Keywords:

FPGA circuits, noise filtering, phase unwrapping, phase-shifting holography

Abstract

The evaluation of efficiency of algorithms implemented in a FPGA, which are applied on phase unwrapping and image filtering for holographic interferometry performing, is here presented. A phase unwrapping linear algorithm was used in holograms obtained by holographic interferometry using the phase-shifting method; Fourier Transform and Bilateral filtering processes were also applied on 1024x1024 holographic images. Phase unwrapping operations combined with Bilateral image filtering implemented in the FPGA were 19 times faster than using an ARM processor, and 12 times faster when Fourier image filtering is used instead. Hardware capacities of FPGA as combined with high-level programming can be an alternative to improve heavy computing processes like those involved in digital holographic microscopy, for example.

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Published

2019-03-24

Issue

Vol. 23 No. 1 (2019): Recent Advances in Optics and Photonics (Guest Editors: J. J. Sánchez Mondragón, M. Torres Cisneros, R. Guzmán Cabrera)

Section

Articles of the Thematic Issue

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