Simplified novel look-up table method using compute unified device architecture

In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU.