No-reference image quality measurement for low-resolution images

Josh Sanderson; Yu Liang

doi:10.1117/12.2015014

3 June 2013 No-reference image quality measurement for low-resolution images

Josh Sanderson, Yu Liang

Author Affiliations +

Proceedings Volume 8744, Automatic Target Recognition XXIII; 874404 (2013) https://doi.org/10.1117/12.2015014
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

No-reference measurement for image quality, where an original error-free image is not provided as reference, plays an important role in image processing and analysis. This paper mainly investigates three no-reference image-quality metrics, which are based on the standard deviation, the maximum, and the mean of the magnitude of the intensity gradient of pixels. Each measurement metric is critically accessed using low resolution gray-scale images, which are acquired by unmanned aerial vehicles cruising over the city and aim to disclose the movement of vehicles such as a semi -truck, light colored cars, and dark colored cars, etc. The experimental results demonstrate that, compared to alternative schemes, the standard deviation based metric provides a more accurate measurement about the quality of images. In addition, standard deviation based scheme demonstrates superior correlation with alternative schemes to measure the quality of images.

Citation Download Citation

Josh Sanderson and Yu Liang "No-reference image quality measurement for low-resolution images", Proc. SPIE 8744, Automatic Target Recognition XXIII, 874404 (3 June 2013); https://doi.org/10.1117/12.2015014

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