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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性的图像质量评估

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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:本文提出了一种基于图像显着性和特征相似性的完整参考图像质量评估方法。该方法首先计算劣化图像和参考图像之间的特征相似图。然后为了强调显着区域在图像质量评估中,参考图像的显着图作为特征相似性图的重量提取。通过基于空间域和频域的组合来提取显着图。最后,利用显着图和特征相似性图预测了降级的图像质量分数。所获得的散点图和非线性回归函数表明,该方法预测的各种类型的降级图像的分数与主观值一致。

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