A universal image quality index
A universal image quality index
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DOI：
10.1109/97.995823
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发表时间：
2002-03-01
影响因子：
3.9
通讯作者：
Bovik, AC
中科院分区：
文献类型：
--
作者：
Wang, Z;Bovik, AC
我们提出了一个新的通用的客观图像质量指标，这是易于计算和适用于各种图像处理应用。而不是使用传统的误差求和方法，建议的指数是通过建模任何图像失真的三个因素的组合：相关性损失，亮度失真，对比度失真。虽然新的指数是数学定义的，没有人类视觉系统模型是明确采用，我们的各种图像失真类型的实验表明，它的表现显着优于广泛使用的失真度量均方误差。演示图像和算法的高效MATLAB实现可在http：Hanchovy.ece.utexas.edu/-zwang/research/quaIity-index/demo.html上在线获得。
We propose a new universal objective image quality index, which is easy to calculate and applicable to various image processing applications. Instead of using traditional error summation methods, the proposed index is designed by modeling any image distortion as a combination of three factors: loss of correlation, luminance distortion, and contrast distortion. Although the new index is mathematically defined and no human visual system model is explicitly employed, our experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error. Demonstrative images and an efficient MATLAB implementation of the algorithm are available online at http:Hanchovy.ece.utexas.edu/-zwang/research/quaIity-index/demo.html.