Partial Monte Carlo sampling for computer generated holograms

CGH is considered as the key technology to integrate synthetic 3D imaging to get best photo-realistic rendering quality and optimum viewing experience. We present a partial Monte Carlo sampling algorithm that uses a random subset of rays for the calculation of the CGH, reducing the computational cost. The similarity of the images obtained from the CGH with respect to the original one is evaluated as a function of the image resolution and the percentage of rays used. The results obtained are presented for both simulation and experimental set-up.