Multi-scale information fidelity approach for full reference image quality assessment

The Information Fidelity Criterion (IFC) of image assessment metric is based on the statistical mutual information shared by reference image and distorted image. IFC is parameterless and superior to traditional methods. However, human vision system (HVS) is adaptive to different scale feature of image. A multi-scale IFC approach to model the characteristics of HVS was proposed in this paper, in which image was locally filtered by Gaussian dynamic windows ratio to different scales. Finally, assessment scores for different scales were pooled with weight of contrast sensitivity function. Experimental results showed that the performance of the proposed approach was superior to other methods.