Dynamic range independent image quality assessment
Dynamic range independent image quality assessment
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DOI：
10.1145/1360612.1360668
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发表时间：
2008-08-01
影响因子：
6.2
通讯作者：
Seidel, Hans-Peter
中科院分区：
文献类型：
--
作者：
Aydin, Tunc Ozan;Mantiuk, Rafal;Seidel, Hans-Peter
显示技术的多样性以及高动态范围图像的引入使得比较动态范围截然不同的图像成为必要。当前的质量评估指标并不适合这项任务，因为它们假定参考图像和测试图像具有相同的动态范围。当前大多数指标所采用的图像保真度测量方法是基于测试图像和参考图像之间像素强度或对比度值的差异，如果这一假定不成立，就会导致无意义的预测。我们提出了一种新的图像质量指标，它能够对两幅具有任意动态范围的图像进行操作。我们的指标利用了人类视觉系统的一个模型，其核心思想是基于对图像结构中可见变化的检测和分类，对可见失真进行新的定义。我们的指标经过了精心校准，其性能通过感知实验得到了验证。我们展示了我们的指标在评估正向和反向色调映射算子以及分析具有各种特性的显示器上的图像外观方面的可能应用。
The diversity of display technologies and introduction of high dynamic range imagery introduces the necessity of comparing images of radically different dynamic ranges. Current quality assessment metrics are not suitable for this task, as they assume that both reference and test images have the same dynamic range. Image fidelity measures employed by a majority of current metrics, based on the difference of pixel intensity or contrast values between test and reference images, result in meaningless predictions if this assumption does not hold. We present a novel image quality metric capable of operating on an image pair where both images have arbitrary dynamic ranges. Our metric utilizes a model of the human visual system, and its central idea is a new definition of visible distortion based on the detection and classification of visible changes in the image structure. Our metric is carefully calibrated and its performance is validated through perceptual experiments. We demonstrate possible applications of our metric to the evaluation of direct and inverse tone mapping operators as well as the analysis of the image appearance on displays with various characteristics.