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Image Sharpness Assessment Based on Wavelet Energy of Edge Area

机译：基于边缘区域小波能量的图像清晰度评估

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Image quality assessment is needed in multiple image processing areas and blur is one of the key reasons of image deterioration. Although great full-reference image quality assessment metrics have been proposed in the past few years, no-reference method is still an area of current research. Facing this problem, this paper proposes a no-reference sharpness assessment method based on wavelet transformation which focuses on the edge area of image. Based on two simple characteristics of human vision system, weights are introduced to calculate weighted log-energy of each wavelet sub band. The final score is given by the ratio of high-frequency energy to the total energy. The algorithm is tested on multiple databases. Comparing with several state-of-the-art metrics, proposed algorithm has better performance and less runtime consumption.
机译：在多个图像处理区域中需要进行图像质量评估，并且模糊是图像劣化的关键原因之一。尽管在过去几年中已经提出了很好的全参考图像质量评估指标，但是无参考方法仍然是当前研究的领域。面对这一问题，本文提出了一种基于小波变换的无参考清晰度评估方法，其重点是图像的边缘区域。基于人类视觉系统的两个简单特征，引入权重来计算每个小波子带的加权对数能量。最终分数由高频能量与总能量之比得出。该算法已在多个数据库上进行了测试。与几种最新指标相比，所提出的算法具有更好的性能和更少的运行时间消耗。

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