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- W2006796899 abstract "Conventional wavefront correction uses direct wavefront sensing methods such as the Shack-Hartmann sensor tomeasure the wavefront at the pupil of the system. Image sharpening is an indirect wavefront sensing method where thewavefront correction is performed using measurements from the image plane. Wavefront correction using imagesharpening is advantageous in systems where a point source isn't available or where the number of optical componentsneeds to be reduced by using the scientific camera that is already in place. Correction is performed by measuring thesharpness value as the correction device, such as a deformable mirror, cycles through until the sharpness value ismaximized and continues to adapt as the aberrations change. A sharpness metric, or definition, is needed to measure thesharpness value such that it reaches a maximum when aberrations are minimized. This work investigates the use of theFourier transform of the image, the image spatial frequency spectra, as a Fourier-based sharpness metric. The imagespatial frequency spectra is obtained two ways, digitally by computing the Fourier transform of the image plane andoptically with a coherent source by using the Fourier transform properties of a convex lens. Affects of aberrations on theintensity at various spatial frequencies are investigated to obtain a sharpness metric that reaches a maximum andaberration strengths decrease. Results from experimentation of various optical configurations are presented to evaluatethe performance of these Fourier-based metrics." @default.
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- W2006796899 date "2009-08-20" @default.
- W2006796899 modified "2023-09-23" @default.
- W2006796899 title "Wavefront correction using a Fourier-based image sharpness metric" @default.
- W2006796899 doi "https://doi.org/10.1117/12.826648" @default.
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