Novel Technique for Ro-Reference Image Quality Assessment

D. Asatryan
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引用次数: 2

Abstract

In this paper, a new measure for no-reference assessment of image quality based on the use of the structural properties of an image is proposed. As a measure, it is proposed to use the estimate of the Weibull distribution shape parameter, obtained by the set of image gradient magnitudes. This measure was previously successfully used to estimate the blurriness of the image. To test the effectiveness of the proposed measure, we used the data from the well-known TID2013 image database, which includes images of various types of distortions and corresponding mean opinion scores of the humans. The ability of the proposed measure is shown to distinguish the types of image distortions, which change the structural properties of an image.
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无参考图像质量评价新技术
本文提出了一种基于图像结构特性的无参考图像质量评价方法。作为一种度量,提出了使用威布尔分布形状参数的估计,由图像梯度大小集得到。这种方法以前被成功地用于估计图像的模糊度。为了验证该方法的有效性,我们使用了来自著名的TID2013图像数据库的数据,该数据库包括各种类型失真的图像和相应的人类平均意见得分。结果表明,该方法能够区分改变图像结构属性的图像失真类型。
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