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13 May 2019 Imaging reconstruction with engineered point spread functions (Conference Presentation)
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Abstract
A Point Spread Function (PSF) engineered imaging system provides functionality at the expense of image distortion. Deconvolution and other post-processing techniques may partially restore the image if the PSF is known. We compare how various phase mask functions (e.g., vortex, axicon, cubic, and circular harmonic) may functionally protect a sensor from a coherent beam, and we discuss the subsequent trade-off between peak irradiance and the integrated modulation transfer function (Strehl ratio). Both experimental and numerical examples demonstrate that the peak irradiance may be suppressed by orders of magnitude without intolerable loss of image fidelity. The design of an optimal phase mask that accomplishes this task is made difficult by the nonlinear relationship between peak irradiance and Strehl. Results from experimental and numerical optimization schemes like simulated annealing, differential evolution, and Nelder-Mead will be compared.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grover A. Swartzlander Jr., Jacob H. Wirth, Abbie T. Watnik, and Kyle M. Novak "Imaging reconstruction with engineered point spread functions (Conference Presentation)", Proc. SPIE 10990, Computational Imaging IV, 109900P (13 May 2019); https://doi.org/10.1117/12.2521317
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