To　achieve　objective　image　correction　quality　assessment　results　that　are　consistent　with　subjective　perception,　we　create　an　Image　Color　Correction　Database　(ICCD).　ICCD　contains　a　variety　of　types　and　scales　of　color　difference.　The　types　of　color　difference　include　the　differences　in　brightness,　hue,　saturation,　exposure,　contrast　and　R　and　G　channels.　Each　type　has　three　different　scales.　We　select　six　state-of-the-art　color　correction　algorithms　to　perform　color　correction　for　each　target　image.　Then　we　design　and　conduct　user　study　to　get　users＇　Mean　Opinion　Score　(MOS).　Based　on　ICCD,　we　evaluate　the　performance　of　six　color　correction　algorithms.　For　most　of　types　and　scales　of　color　difference,　Pitie＇s　iterative　color　distribution　transfer　algorithm　performs　best.　We　also　evaluate　the　14　objective　image　quality　assessment　metrics　and　pick　out　three　better　assessment　metrics　that　achieve　better　consistency　with　MOS　than　existing　methods.　©　2017,　Chinese　Institute　of　Electronics.　All　right　reserved.