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Polychromatic wave-optics models for image-plane speckle. 1. Well-resolved objects.

作者信息

Van Zandt Noah R, McCrae Jack E, Spencer Mark F, Steinbock Michael J, Hyde Milo W, Fiorino Steven T

出版信息

Appl Opt. 2018 May 20;57(15):4090-4102. doi: 10.1364/AO.57.004090.

DOI:10.1364/AO.57.004090
PMID:29791382
Abstract

Polychromatic laser light can reduce speckle noise in wavefront-sensing and imaging applications that use direct-detection schemes. To help quantify the achievable reduction in speckle, this paper investigates the accuracy and numerical efficiency of three separate wave-optics methods. Each method simulates the active illumination of extended objects with polychromatic laser light. In turn, this paper uses the Monte Carlo method, the depth-slicing method, and the spectral-slicing method, respectively, to simulate the laser-object interaction. The limitations and sampling requirements of all three methods are discussed. Further, the numerical efficiencies of the methods are compared over a range of conditions. The Monte Carlo method is found to be the most efficient, while spectral slicing is more efficient than depth slicing for well-resolved objects. Finally, Hu's theory is used to quantify method accuracy when possible (i.e., for well-resolved objects). In general, the theory compares favorably to the simulation methods.

摘要

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