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首页> 外文会议>2012 11th International Conference on Information Science, Signal Processing and their Applications. >An FFT-based visual quality metric robust to spatial shift
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An FFT-based visual quality metric robust to spatial shift

机译：基于FFT的视觉质量度量，对空间移位具有鲁棒性

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摘要

In recent years, several metrics have been developed for measuring image visual quality, including the MSSIM and the visual information fidelity (VIF). However, these metrics are not robust to spatial shifts, meaning that when the reference and distorted images are misaligned by a few pixels, these metrics will produce very low scores, which is undesirable. In this paper, we extend the SSIM metric to make it robust to spatial shifts by first pre-processing the input images with the Fast Fourier transform (FFT). We then apply the magnitude of the transformed Fourier coefficients to the existing metrics because these coefficients are shift-invariant. Our assumption is that if we shift the image by a small amount of pixels, then it will not affect the perceived quality. Experimental results show that the proposed method is attractive for measuring the visual quality of 2D images as it is far less complex than the current approach, which consists in performing global motion estimation to align the input images prior to applying the metrics, and offers better accuracy.
机译：近年来，已经开发了几种用于测量图像视觉质量的指标，包括MSSIM和视觉信息保真度（VIF）。但是，这些度量标准对空间移位的鲁棒性不强，这意味着当参考图像和失真的图像未对齐几个像素时，这些度量标准将产生非常低的分数，这是不希望的。在本文中，我们首先通过使用快速傅立叶变换（FFT）对输入图像进行预处理，来扩展SSIM度量以使其对空间平移具有鲁棒性。然后，将变换后的傅里叶系数的大小应用于现有指标，因为这些系数是不变位移的。我们的假设是，如果我们将图像移位少量像素，则不会影响感知质量。实验结果表明，该方法对测量2D图像的视觉质量具有吸引力，因为它远不如当前方法复杂，该方法包括在应用度量之前执行全局运动估计以对齐输入图像，并提供更好的准确性。

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