Adaptive optics-corrected solar image quality assessment based on image power spectrum and human visual system

Meng Yang; Yu Tian; Chang-Hui Rao

doi:10.1117/1.OE.57.1.013102

19 January 2018 Adaptive optics-corrected solar image quality assessment based on image power spectrum and human visual system

Meng Yang, Yu Tian, Chang-Hui Rao

Author Affiliations +

Optical Engineering, Vol. 57, Issue 1, 013102 (January 2018). https://doi.org/10.1117/1.OE.57.1.013102

Abstract

In ground-based large aperture solar telescopes, the speckle image reconstruction technique combined with adaptive optics (AO) correction is generally used to get near diffraction-limited solar images. In order to select the high quality images from the AO-corrected high resolution solar image sequence, an automated no-reference image quality assessment (IQA) is needed. According to the noise characteristics of solar AO images, an IQA metric based on an image power spectrum and human visual system is developed. By the incorporation of noise masking and shifting the spatial frequency range of summation, our IQA metric could select sharper images with less noise than previous works based on the image power spectrum, even if there is image scaling. Compared with existing general-purpose IQA metrics and previous metrics specifically designed for solar IQA, experimental results verify that the proposed metric gains better performance whether on robustness to blur and noise, or on selecting high quality frames containing solar granulations, sunspots, or both of them.

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Meng Yang, Yu Tian, and Chang-Hui Rao "Adaptive optics-corrected solar image quality assessment based on image power spectrum and human visual system," Optical Engineering 57(1), 013102 (19 January 2018). https://doi.org/10.1117/1.OE.57.1.013102

Received: 11 October 2017; Accepted: 28 December 2017; Published: 19 January 2018

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KEYWORDS

Image quality

Adaptive optics

Spatial frequencies

Image filtering

Visual system

Image processing

Image resolution

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