Abstract: For the pixel-based method for image quality assessment ignores the structural features of natural images, which fails 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.
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Key words:  image quality assessment, phase congruency, assessment function, wavelet transform, consistency of subjective and objective