Foveation-based content Adaptive Structural Similarity index

This paper proposes a novel video quality metric - Foveation-based content Adaptive Structural SIMilarity index - FA-SSIM, which combines the Structural SIMilarity index (SSIM) and the foveation-based sensitivity function S_f. Function S_f is based on the Human Visual System (HVS) behavior that spatial resolution is the highest around the point of fixation and decreases rapidly with increasing eccentricity. Furthermore, S_f captures effect of further spatial acuity reduction due to motion in a video sequence. Accuracy of proposed metric is tested on the LIVE video quality database. The results of quality evaluation show that FA-SSIM outperforms SSIM as well as VQM and MS-SSIM metric and that is even competitive with state of the art MOVIE metric.