No-reference image quality measurement for low-resolution images
Josh Sanderson, Yu Liang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
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.