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Signal window minimum average error algorithm for computer-generated holograms

Abstract : We present an explanation of the minimum-average-error-(MAE-) based error diffusion algorithm for computer-generated hologram (CGH) calculation. This leads to a direct and straightforward link between the CGH reconstruction plane signal windows and the MAE diffusion weights: the diffusion weights should be the Fourier transform of the signal window function. A MAE algorithm based on these results is described and used to calculate test CGH's, whose computer-simulated and experimental reconstructions confirm our analysis by generating true, low-error signal windows akin to those obtained with iterative algorithms. Comparisons made with an iterative algorithm show that the new algorithm is a powerful, low-computation-load, CGH binarization tool and that, when combined with random or image-independent diffusers, it makes possible the calculation of acceptable-performance, high-space-bandwidth-product CGH's whose calculation would be unfeasible with iterative algorithms.
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Contributor : Kevin Heggarty Connect in order to contact the contributor
Submitted on : Wednesday, January 9, 2019 - 9:26:27 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM


  • HAL Id : hal-01974866, version 1


Kevin Heggarty, R Chevallier. Signal window minimum average error algorithm for computer-generated holograms. Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 1998. ⟨hal-01974866⟩



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