Perceptual image quality in normalized LOG domain for Adaptive Optics image post-processing

Shiping Guo; Rongzhi Zhang; Jisheng Li; Jianhua Zou; Changhai Liu; Weizhe Gao

doi:10.1117/12.2195799

5 August 2015 Perceptual image quality in normalized LOG domain for Adaptive Optics image post-processing

Shiping Guo, Rongzhi Zhang, Jisheng Li, Jianhua Zou, Changhai Liu, Weizhe Gao

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 96221G (2015) https://doi.org/10.1117/12.2195799
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

Adaptive Optics together with subsequent post-processing techniques obviously improve the resolution of turbulencedegraded images in ground-based space objects detection and identification. The most common method for frame selection and stopping iteration in post-processing has always been subjective viewing of the images due to a lack of widely agreed-upon objective quality metric. Full reference metrics are not applicable for assessing the field data, no-reference metrics tend to perform poor sensitivity for Adaptive Optics images. In the present work, based on the Laplacian of Gaussian (LOG) local contrast feature, a nonlinear normalization is applied to transform the input image into a normalized LOG domain; a quantitative index is then extracted in this domain to assess the perceptual image quality. Experiments show this no-reference quality index is highly consistent with the subjective evaluation of input images for different blur degree and different iteration number.

Citation Download Citation

Shiping Guo, Rongzhi Zhang, Jisheng Li, Jianhua Zou, Changhai Liu, and Weizhe Gao "Perceptual image quality in normalized LOG domain for Adaptive Optics image post-processing", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96221G (5 August 2015); https://doi.org/10.1117/12.2195799

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KEYWORDS

Image quality

Adaptive optics

Electronic filtering

Image filtering

Image processing

Satellite imaging

Satellites

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