A Wavelet-Based Image Quality Assessment Method
A Wavelet-Based Image Quality Assessment Method
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DOI：
10.1142/s0219691308002501
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
Wen Lu;Xinbo Gao;D. Tao;Xuelong Li
中科院分区：
文献类型：
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作者：
Wen Lu;Xinbo Gao;D. Tao;Xuelong Li
图像质量是图像处理、10，11图像检索、12，13和生物统计学中的关键特征。本文提出了一种基于小波变换的减少参考图像质量评估方法。通过模拟人类视觉系统，我们考虑了视觉敏感系数的方差来衡量一个失真的图像。与现有的一些方法相比，所提出的方法的计算复杂度低得多。实验结果表明，该方法在相关系数、离群值比率、传输信息量和CPU开销等方面都具有一定的优势。此外，它也说明了所提出的方法具有良好的符合人的主观感受。
Image quality is a key characteristic in image processing,10,11 image retrieval,12,13 and biometrics.14 In this paper, a novel reduced-reference image quality assessment method is proposed based on wavelet transform. By simulating the human visual system, we take the variance of the visual sensitive coefficients into account to measure a distorted image. The computational complexity of the proposed method is much lower compared with some existing methods. Experimental results demonstrate its advantages in terms of correlation coefficient, outlier ratio, transmitted information, and CPU cost. Moreover, it is also illustrated that the proposed method has a good accordance with human subjective perception.