Image　enhancement　techniques　play　an　important　role　in　improving　visual　quality　of　media　content.　Image　Quality　Assessment　(IQA)　metrics　are　essential　in　comparing　and　improving　image　enhancement　algorithms.　Although　these　enhancement　methods　belong　to　different　types　of　tasks　in　computer　vision,　the　IQA　for　these　methods　has　a　common　problem,　namely,　their　reference　information　is　limited.　This　poses　a　challenge　to　IQA:　How　to　utilize　the　limited　reference　information　to　evaluate　the　qualities　of　distorted　images.　I　am　dedicated　to　approaching　this　challenge　throughout　my　PhD.　In　this　paper,　first,　I　illustrate　the　motivation　of　my　PhD　project.　Then,　I　formulate　the　problem　and　the　ultimate　goal　of　my　PhD　research.　Next,　I　introduce　some　developed　results　in　my　research.　Finally,　I　present　my　ongoing　work　and　future　directions.