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Image quality evaluation based on saliency and feature similarity

机译:基于显着性和特征相似度的图像质量评估

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摘要

A full reference image quality evaluation method based on image saliency and feature similarity is proposed in this paper. The method first calculates the feature similarity map between the degraded image and the reference image. Then in order to emphasize the crucial role of the salient region in the image quality evaluation saliency map of reference image is extracted as weight of the feature similarity map. The saliency map is extracted by the method based on the combination of spatial domain and frequency domain. Finally, the degraded image quality score is predicted with the saliency map and the feature similarity map. The obtained scatter plots and nonlinear regression functions show that the scores of various types of degraded images predicted by this method are consistent with the subjective values.
机译:提出了一种基于图像显着度和特征相似度的全参考图像质量评估方法。该方法首先计算降级图像和参考图像之间的特征相似度图。然后,为了强调显着区域在图像质量评估中的关键作用,提取参考图像的显着性图作为特征相似度图的权重。该方法基于空间域和频域的组合提取显着图。最后,通过显着图和特征相似图预测退化的图像质量得分。所获得的散点图和非线性回归函数表明,该方法预测的各种退化图像的得分与主观值一致。

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