In response to the problem of the lack of generalization ability of the existing image quality evaluation methods for different types of image distortion, a new no-reference image quality evaluation method is proposed. This method is based on the image region mutual information feature, combined with the non-subsampled shearlet transform, and designs a multi-scale frequency domain feature and its extraction method to train the image distortion classification model and regression model. Two kinds of models are used to calculate the distortion score and the image quality score, and the two scores are fused as the evaluation score of the image quality to achieve objective assessment of image quality. Performance tests on real image data show that the method proposed in this paper has the advantages of high subjective consistency, good generalization, and no need for reference images. It can be applied to various imaging devices and image processing application systems.