@inproceedings{38a33552c6c84bf39724425f1f7c426d,
title = "Perceptual image quality in normalized LOG domain for Adaptive Optics image post-processing",
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.",
keywords = "Adaptive Optics, image quality assessment, imaging through turbulence, post-processing",
author = "Shiping Guo and Rongzhi Zhang and Jisheng Li and Jianhua Zou and Changhai Liu and Weizhe Gao",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2015 ; Conference date: 17-05-2015 Through 19-05-2015",
year = "2015",
doi = "10.1117/12.2195799",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Guangming Shi and Bormin Huang and Xuelong Li",
booktitle = "2015 International Conference on Optical Instruments and Technology",
}