Abstract:

In order to further improve the consistency of the objective and subjective video image quality assessment, we present a quality evaluation method with full reference based on 2D visual attention model, which combines the 2D model with PSNR(Peak Signal to Noise Ratio), SSIM （Structural Similarity Index Method） and GSSIM (Gradient based Structural Similarity Index Method) evaluation methods for quality evaluation. The experimental results show that the proposed methods of image quality assessment are more effective than PSNR, SSIM and GSSIM methods. Tested on LIVE database with its Pearson, Spearman Correlation equals to 0.903 5 and 0.903 1. Comparing with other evaluation methods, it is simpler in principle, lower in calculation complex and has better performance and better evaluation results.

Key words: information processing, visual attention model, structural similarity, quality evaluation