Adaptive image quality assessment method based on structural similarity
Jin Xi · Journal of Optoelectronics·laser · 2014
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 energy 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 distortion,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 approach is realized.The experimental results show that the proposed ASSIM outperforms SSIM,because the distortion type of image has been identified ahead and thus we can choose the most suitable parameters in the evaluation metric,particularly 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 0.141 2and 1.691 9,respectively.