A facial image enhancement method, comprising: determining a plurality of feature regions in a facial image according to feature points of the facial image ; correcting an initial enhancement weight coefficient of each feature region of the feature regions, to obtain a weight map of discrete enhancement on the facial image; obtaining a weight map of continuous enhancement on the facial image according to the weight map of discrete enhancement on the facial image ; and performing enhancing the facial image according to the weight map of continuous enhancement on the facial image, to obtain an enhanced facial image, characterized in that the correcting the initial enhancement weight coefficient of each feature region of the feature regions, to obtain the weight map of discrete enhancement on the facial image comprises: obtaining the initial enhancement weight coefficient corresponding to each feature region of the feature regions; determining a smoothing coefficient of each feature region of the feature regions and a physiological feature coefficient corresponding to the facial image ; and correcting the initial enhancement weight coefficient according to the smoothing coefficient of each feature region of the feature regions and the physiological feature coefficient to obtain the weight map of discrete enhancement on the facial image . determining a plurality of feature regions in a facial image according to feature points of the facial image ; correcting an initial enhancement weight coefficient of each feature region of the feature regions, to obtain a weight map of discrete enhancement on the facial image; obtaining a weight map of continuous enhancement on the facial image according to the weight map of discrete enhancement on the facial image ; and performing enhancing the facial image according to the weight map of continuous enhancement on the facial image, to obtain an enhanced facial image, characterized in that the correcting the initial enhancement weight coefficient of each feature region of the feature regions, to obtain the weight map of discrete enhancement on the facial image comprises: obtaining the initial enhancement weight coefficient corresponding to each feature region of the feature regions; determining a smoothing coefficient of each feature region of the feature regions and a physiological feature coefficient corresponding to the facial image ; and correcting the initial enhancement weight coefficient according to the smoothing coefficient of each feature region of the feature regions and the physiological feature coefficient to obtain the weight map of discrete enhancement on the facial image . obtaining the initial enhancement weight coefficient corresponding to each feature region of the feature regions; determining a smoothing coefficient of each feature region of the feature regions and a physiological feature coefficient corresponding to the facial image ; and correcting the initial enhancement weight coefficient according to the smoothing coefficient of each feature region of the feature regions and the physiological feature coefficient to obtain the weight map of discrete enhancement on the facial image . <EOS>