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Distance transform measure based on edge-region information: An algorithm for image quality assessment

机译:基于边缘区域信息的距离变换度量:一种图像质量评估算法

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In this paper we consider the problem of objective assessment of image quality. The Mean Structural Similarity Index (MSSIM) have been proposed to assess image quality, inspired by comparing the structures of the distorted and the reference images and presents image distortion as a combination of three factors: loss of correlation, luminance distortion, and contrast distortion. We identify some limitations in this assessment method, and we propose an enhanced measure that corresponds more closely to visual judgment.
机译:在本文中,我们考虑了图像质量的客观评估问题。通过比较畸变图像和参考图像的结构,提出了均值结构相似性指数(MSSIM)来评估图像质量,并将图像失真显示为三个因素的组合:相关性损失,亮度失真和对比度失真。我们在这种评估方法中发现了一些局限性,并提出了一种增强的措施,该措施与视觉判断更为接近。

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