中文摘要：

针对自然图像提出了一种基于最大方向梯度的模糊度评价方法。该方法首先对图像进行方向梯度运算,并进行方向性掩蔽,然后提取一组最大梯度值,运用最大梯度值估计的模糊度均值即为全局模糊度评价值。通过算法一致性实验、交叉失真实验和灵敏度实验表明,本文方法评价值与主观评价值一致性高,性能稳定,灵敏度好。

英文摘要：

A blurriness metric method based on Maximal Oriented Gradient（MOG） is proposed.In this method,a set of filters are used to get oriented gradient maps from original image at first.Then,oriented masking is used to suppress gradient values.At last,a set of MOGs,which is extracted from the suppressed values,are used to predict the blurriness of the original image.Experiments of algorithm consistency and sensitivity show that new method has a good performance, and experiments on cross-distortion data prove that the proposed method is stable and applicable.