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No-reference blur image quality measure based on multiplicative multiresolution decomposition

机译:基于乘法多分辨率分解的无参考模糊图像质量度量

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摘要

A new approach for analyzing the blur effect on real images is proposed. This approach is based on the Multiplicative Multi-resolution Decomposition MMD. From MMD image-content analysis, a blind image quality measure dedicated to blur is then derived. The proposed measure has been applied on Gaussian-blurred and JPEG2000-compressed images from the LIVE, TID and IVC databases. The performance of the proposed measure is evaluated and compared with some referenced image quality metrics. The experimental results measured in terms of correlation with the subjective assessment of the images, demonstrate the efficiency of the proposed image quality measure in predicting the amount of blur.
机译:提出了一种分析真实图像模糊效果的新方法。此方法基于乘法多分辨率分解MMD。然后,从MMD图像内容分析中得出专用于模糊的盲图像质量度量。该提议的措施已应用于来自LIVE,TID和IVC数据库的高斯模糊和JPEG2000压缩图像。评估所提出措施的性能,并将其与一些参考图像质量指标进行比较。根据与图像的主观评估的相关性所测量的实验结果证明了所提出的图像质量度量在预测模糊量方面的效率。

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