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3D computer-generated holography by non-convex optimization
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DOI：10.1364/OPTICA.4.001306.png)
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Abstract
En 中文
3D computer-generated holography uses a digital phase mask to shape the wavefront of a laser beam into a userspecified 3D intensity pattern. Algorithms take the target 3D intensity as input and compute the hologram that generates it. However, arbitrary patterns are generally infeasible, so solutions are approximate and often sub-optimal. Here, we propose a new non-convex optimization algorithm that computes holograms by minimizing a custom cost function that is tailored to particular applications (e.g., lithography, neural photostimulation) or leverages additional information like sample shape and nonlinearity. Our method is robust and accurate, and it out-performs existing algorithms. (C) 2017 Optical Society of America
Keywords:
ALGORITHM
PHOTOSTIMULATION
DISPLAY
IMAGE
PHASE
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