digHolo : High-speed library for off-axis digital holography and Hermite-Gaussian decomposition

TL;DR

digHolo is a high-speed C++ library designed for efficient off-axis digital holography processing, including modal decomposition, with easy integration into various software environments.

Contribution

The paper introduces digHolo, a novel, high-performance library optimized for off-axis digital holography and Hermite-Gaussian decomposition, supporting multiple programming languages.

Findings

Efficient batch processing of holograms

Supports Hermite-Gaussian and Laguerre-Gaussian decomposition

Provides easy integration with Matlab, Python, and C++

Abstract

'digHolo' is a numerical library for processing batches of input off-axis digital holography interferograms and outputting the corresponding reconstructed fields. Optionally the library can perform a modal decomposition of the reconstructed fields and is particularly efficient at Hermite-Gaussian and Laguerre-Gaussian decomposition. The library is written in C++11 for the x86-64 (AVX2) architecture and is intended for use primarily as a dynamic linked library (Windows) or shared object (Linux) which the user can integrate into their own software. The library can be compiled as an executable for processing interferograms from disk using the command line. The library has dependencies on two external libraries; FFTW and BLAS/LAPACK (functions cgemv, cgemm, cgesvd, sgels), but a precompiled statically linked DLL is provided for Windows. A video tutorial is provided explaining usage of the software in addition to this user guide. Coding examples for use in Matlab, Python and C++ are supplied.