Research on Discrete Fourier Transform Representation for Image Quality Assessment

Recently the Structural Similarity (SSIM) is proposed, and attracts a lot of attentions for its good performance and simple calculation. By deeply studying the SSIM, we find it fails to measure the badly blurred images. Based on this, we develop an improved objective quality assessment method which is based on Discrete Fourier Transform representation (called as MDFT). Experiment results show the proposed method is more consistent with HVS than SSIM especially for blurred images and fading images.