Optical testing of a membrane diffractive optic for space-based solar imaging

Asmolova, Olha; Andersen, Geoff; Dearborn, M.E.; McHarg, M. G.; Quiller, Trey; Dickinson, T.

doi:10.1117/12.2037035

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…Previous studies of image restoration for diffractive imaging mainly focused on improving image definition using single-band data [ 14 , 16 , 17 ]. Image color restoration, or white balance, has been extensively studied and applied to the conventional reflection optical images [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera

Yang

et al. 2021

Sensors

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In order to verify the technology of the membrane diffractive imaging system for Chinese next generation geo-stationary earth orbit (GEO) satellite, a series of ground experiments have been carried out using a membrane optical camera with 80 mm aperture (Φ80) lens. The inherent chromatic aberration due to diffractive imaging appears in the obtained data. To address the issue, an effective color restoration algorithm framework by matching, tailoring, and non-linearly stretching the image histograms is proposed in this letter. Experimental results show the proposed approach has good performances in color restoration of the diffractive optical images than previous methods. The effectiveness and robustness of the algorithm are also quantitatively assessed using various color deviation indexes. The results indicate that the chromatic aberration of diffractive images can be effectively removed by about 85%. Also, the proposed method presents reasonable computational efficiency.

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Section: Introductionmentioning

confidence: 99%

A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera

Yang

et al. 2021

Sensors

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show abstract

“…Recent significant projects addressing aperture and lightweight telescope application and accessible in the US Air Force Academy and Defense Advanced Research Projects Agency [4][5][6][7][8]. .…”

Section: Introductionmentioning

confidence: 99%