Image Quality Assessment Based on Contourlet and Gradient Structural Similarity

摘要

To compensate for the defect of inaccurate evaluation of fuzzy distortion by the SSIM original algorithm, following the existing gradirent structure similarity algorithm, considering the multi-resolution and multidirectional characteristics of the Contourlet transform, an image quality assessment algorithm based on Contourlet and Gradient Structural Similarity (CGSSIM) was proposed. The experimental results show that the CGSSIM algorithm is more suitable for the human visual system characteristics than the PSNR and SSIM algorithm and it can get better image quality evaluation results.