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Proceedings Paper

Perceptual image quality in normalized LOG domain for Adaptive Optics image post-processing
Author(s): Shiping Guo; Rongzhi Zhang; Jisheng Li; Jianhua Zou; Changhai Liu; Weizhe Gao
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Paper 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.

Paper Details

Date Published: 5 August 2015
PDF: 7 pages
Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96221G (5 August 2015); doi: 10.1117/12.2195799
Show Author Affiliations
Shiping Guo, Xi'an Jiaotong Univ. (China)
Rongzhi Zhang, Xi’an Satellite Control Ctr. (China)
Jisheng Li, Xi'an Jiaotong Univ. (China)
Jianhua Zou, Xi'an Jiaotong Univ. (China)
Changhai Liu, Xi’an Satellite Control Ctr. (China)
Weizhe Gao, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 9622:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Guangming Shi; Xuelong Li; Bormin Huang, Editor(s)

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