Prediction of subjective user opinion based on score of full reference image quality assessment algorithms
Goal is to create good opinion prediction model for dataset of scores of full reference image quality assessment algorithms
Subjective opinion prediction based on objective algorithms score. MSE, PSNR, SSIM, MSSIM were as full reference image quality assessment algorithms. Dataset of 320 rows was used as a training data.
