68‐1: A Machine Learning Approach to Objective Image Quality Evaluation
Javier Ribera, Gregory W. Cook, Dale Stolitzka, Wei Xiong · SID Symposium Digest of Technical Papers · 2019
Subjective Test Scoring is the gold standard for evaluating visual lossless image compression, but its high cost and long lead time prohibits testing more than a few images. Here, we model the display and human eye and use Machine Learning models of increased complexity, achieving a Pearson correlation of 0.95.