With　the　development　of　image　quality　assessment　(IQA),　the　full-reference　(FR)　IQA　algorithms　are　becoming　more　and　more　mature.　This　paper　analyzes　the　performance　of　five　FR　natural　scene　(NS)　IQA　algorithms　and　three　FR　screen　content　(SC)　IQA　algorithms,　and　makes　analysis　on　the　eight　IQA　algorithms　in　terms　of　prediction　performance　and　design　principle.　Experiments　show,　(1)　the　performance　of　perceptual　similarity　based　IQA　method　proposed　by　Gu　et　al.　is　better;　(2)　the　multi-scale　technology　plays　an　important　role　in　improving　the　performance　of　algorithms.　Finally,　summarized　and　expounded　the　development　direction　of　image　quality　evaluation.　©　2020,　Springer　Nature　Singapore　Pte　Ltd.