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Image Quality Assessment Using the SSIM and the Just Noticeable Difference Paradigm

机译:使用SSIM和Justable值得注意的差异范例进行图像质量评估

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The structural similarity index (SSIM) has been shown to be a superior objective image quality metric. A web-based pilot experiment was conducted with the goal of quantifying, through the use of a sample of human participants, a trend in SSIM values showing when the human visual system can begin to perceive distortions applied to reference images. The just noticeable difference paradigm was used to determine the point at which at least 50% of participants were unable to discern between compressed and uncompressed grayscale images. For four images, this point was at an SSIM value of 96, while for two images it was at 92, for an average of 95. These results suggest that, despite the wide differences in the type of image used, the point at which a human observer cannot determine that compression has been used hovers around an SSIM value of 95.
机译:结构相似性指数(SSIM)已被证明是一种出色的客观图像质量指标。进行了基于网络的先导实验,目的是通过使用人类参与者的样本来量化SSIM值的趋势,从而显示人类视觉系统何时可以开始感知应用于参考图像的失真。唯一明显的差异范式用于确定至少50%的参与者无法区分压缩和未压缩灰度图像的点。对于四张图像,该点的SSIM值为96,而对于两张图像,其SSIM值为92,平均为95。这些结果表明,尽管所用图像类型差异很大,但人类观察者无法确定已使用压缩来徘徊在SSIM值95附近。

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