Considering the fact that three factors,that is,light,contrast and structure in structural similarity (SSIM) metric,have different contributions to image evaluation with different types of distortion,this paper proposes an adaptive image quality assessment,called as ASSIM,based on analysis of image’ s distortion types.Firstly,we analyze the characteristics of the original and distorted images,including the e nergy of wavelet sub-bands,power spectrum and magnitude spectrum of Fourier transform.Then the distortion type of an image is identified according to these characteristics,including Gaussian noise distortion,JPEG compression dis tortion,Gaussian blurring distortion and JPEG2000compression distortion.In accordance with the distortion type,the most suitable parameters, which indicate the weight distribution of the three factors in SSIM metric,are selected through the optimization.Finally,based on these parameters,the ASSIM a pproach is realized.The experimental results show that the proposed ASSIM outperforms SSIM,because the distortion type of i mage has been identified ahead and thus we can choose the most suitable parameters in the evaluation metric,par ticularly in the case of Gaussian blurring distortion,where Pearson value is increased by 0.05and Spearman value is improved at least 0.039,OR value and RMSE value are decreased by 0.1412and 1.6919,respectively.