一种基于相位特征的小波域图像质量评价算法

An Image Quality Assessment Algorithm Based on Phase Feature for Wavelet Domain

基于像素值的图像质量评价算法忽视了图像自身的结构特征信息,不能较好地评测某些失真类型的图像质量。针对这一问题,本文提出一种基于相位特征的图像质量评价算法。该算法根据人眼对图像的理解主要建立于图像低层次结构这一特点上,给出一种图像质量评价函数的计算方法。首先将图像的相位一致性作为评价函数的第一个特征;然后将图像的小波变换模作为评价函数的第二个特征。最后基于这2个特征获取整体图像的质量评价测度。仿真实验验证了该算法的有效性,结果表明提出的图像质量评价算法和人类主观评价感受具有良好的一致性。

For the pixel-based method for image quality assessment ignores the structural features of natural images, which tails to measure some particular distortion types. Therefore, an image quality assessment algorithm by using phase feature is proposed. This method is proposed based on the fact that human eye understands an image mainly according to its low-level features. First, the phase congruency is considered as the primary feature in computing the assessment function. Then, the modulus of wavelet transform is considered as the second feature in computing the assessment function, Finally, the whole image quality assessment value can be obtained based on these two features. Experimental results on standard image database demonstrate that the effectiveness of the proposed method. Meanwhile, it has a good consistency with the subjective assessment of human beings.