Quality metric in matched Laplacian of Gaussian response domain for blind adaptive optics image deconvolution

Shiping Guo; Rongzhi Zhang; Yikang Yang; Rong Xu; Changhai Liu; Jisheng Li

doi:10.1117/1.OE.55.4.043108

28 April 2016 Quality metric in matched Laplacian of Gaussian response domain for blind adaptive optics image deconvolution

Shiping Guo, Rongzhi Zhang, Yikang Yang, Rong Xu, Changhai Liu, Jisheng Li

Author Affiliations +

Optical Engineering, Vol. 55, Issue 4, 043108 (April 2016). https://doi.org/10.1117/1.OE.55.4.043108

Abstract

Adaptive optics (AO) in conjunction with subsequent postprocessing techniques have obviously improved the resolution of turbulence-degraded images in ground-based astronomical observations or artificial space objects detection and identification. However, important tasks involved in AO image postprocessing, such as frame selection, stopping iterative deconvolution, and algorithm comparison, commonly need manual intervention and cannot be performed automatically due to a lack of widely agreed on image quality metrics. In this work, based on the Laplacian of Gaussian (LoG) local contrast feature detection operator, we propose a LoG domain matching operation to perceive effective and universal image quality statistics. Further, we extract two no-reference quality assessment indices in the matched LoG domain that can be used for a variety of postprocessing tasks. Three typical space object images with distinct structural features are tested to verify the consistency of the proposed metric with perceptual image quality through subjective evaluation.

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Shiping Guo, Rongzhi Zhang, Yikang Yang, Rong Xu, Changhai Liu, and Jisheng Li "Quality metric in matched Laplacian of Gaussian response domain for blind adaptive optics image deconvolution," Optical Engineering 55(4), 043108 (28 April 2016). https://doi.org/10.1117/1.OE.55.4.043108

Published: 28 April 2016

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KEYWORDS

Image quality

Deconvolution

Adaptive optics

Satellites

Hubble Space Telescope

Satellite imaging

Earth observing sensors

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