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No-Reference Image Quality Measurement for Low Resolution Images

机译：低分辨率图像的无参考图像质量测量

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摘要

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.
机译：在没有提供原始无错误图像作为参考的情况下，图像质量的无参考测量在图像处理和分析中起着重要作用。本文主要研究三个无参考图像质量指标，这些指标基于像素强度梯度的标准偏差，最大值和均值。每个测量指标均使用低分辨率灰度图像严格访问，低分辨率灰度图像是在城市上空飞行的无人驾驶飞机获取的，其目的是揭示半卡车，浅色汽车和深色汽车等车辆的行驶情况实验结果表明，与替代方案相比，基于标准偏差的度量标准提供了有关图像质量的更准确测量。此外，基于标准偏差的方案证明了与替代方案之间具有较高的相关性，可用来测量图像质量。

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