I'm trying to figure out which of the resampling methods is best in my job. Comparing the original image vs. bilinear, bicubic, bicubic spline, lanczos. For now I have considered metrics like MSE RME SSIM and UQI, but I read in some articles that the SRE (signal to reconstruction error ratio) is also valid for evaluation. Should I consider it? If yes, how is it implemented on python?
Finally, the mean square error seems too high.
MSE RMSE PSNR SSIM UQI NORMAL vs BILINEAR 1842447.8454 1357.3680 21.4111 0.04 0.8548 NORMAL vs CUBIC 1853309.4604 1361.3631 21.3855 0.05 0.8541 NORMAL vs CUBICA SPLINE 1834833.0737 1354.5601 21.4290 0.03 0.8552 NORMAL vs LANCZOS 1855455.1160 1362.1509 21.3892 0.05 0.8540