In the image color space

the RGB channels have strong correlations.The quality change of an image will lead to the change of channel correlations.However

most traditional image quality assessment (IQA) methods

based on grayscale image statistics

ignore such correlation information among color channels.In this paper

to utilize the color information

we propose a blind IQA method based on the recent proposed complementary color wavelet transform (CCWT).We provide models for the complementary color nature scene statistics

multi-resolution and multi-directionality energy distributions of an image.The analysis shows that our models not only cover the information of traditional methods

but also provide the relation information among color channels.A group of high-efficiency image quality features is then given.Based on these features

our blind IQA method can effectively extract the distortion statistic features and provide assessment results.Our IQA results are agreeing with the human subjective

better than the state-of-the-art blind IQA results

and close to the full-reference ones.