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.