An image processing method, comprising: obtaining (202, 302) an image to be processed; detecting one or more face regions in the image to be processed, and detecting an overexposed region in each of the one or more face regions; for each of the one or more face regions: obtaining a light effect intensity coefficient based on the overexposed region, and obtaining (206, 312) a target light effect model based on the light effect intensity coefficient, the target light effect model being a model that simulates a change in light; and performing light enhancement processing on the image to be processed via the target light effect model; characterized in that the image processing method further comprises: presetting a reference light effect model, the reference light effect model being configured to simulate a change in light; the obtaining the light effect intensity coefficient based on the overexposed region comprises: obtaining a second average brightness value of pixels in the overexposed region; and obtaining the light effect intensity coefficient based on the second average brightness value; the obtaining (206, 312) the target light effect model based on the light effect intensity coefficient comprises: adjusting the reference light effect model based on the light effect intensity coefficient to obtain the target light effect model. obtaining (202, 302) an image to be processed; detecting one or more face regions in the image to be processed, and detecting an overexposed region in each of the one or more face regions; for each of the one or more face regions: obtaining a light effect intensity coefficient based on the overexposed region, and obtaining (206, 312) a target light effect model based on the light effect intensity coefficient, the target light effect model being a model that simulates a change in light; and performing light enhancement processing on the image to be processed via the target light effect model; characterized in that the image processing method further comprises: presetting a reference light effect model, the reference light effect model being configured to simulate a change in light; the obtaining the light effect intensity coefficient based on the overexposed region comprises: obtaining a second average brightness value of pixels in the overexposed region; and obtaining the light effect intensity coefficient based on the second average brightness value; the obtaining (206, 312) the target light effect model based on the light effect intensity coefficient comprises: adjusting the reference light effect model based on the light effect intensity coefficient to obtain the target light effect model. obtaining a light effect intensity coefficient based on the overexposed region, and obtaining (206, 312) a target light effect model based on the light effect intensity coefficient, the target light effect model being a model that simulates a change in light; and performing light enhancement processing on the image to be processed via the target light effect model; characterized in that the image processing method further comprises: presetting a reference light effect model, the reference light effect model being configured to simulate a change in light; the obtaining the light effect intensity coefficient based on the overexposed region comprises: obtaining a second average brightness value of pixels in the overexposed region; and obtaining the light effect intensity coefficient based on the second average brightness value; the obtaining (206, 312) the target light effect model based on the light effect intensity coefficient comprises: adjusting the reference light effect model based on the light effect intensity coefficient to obtain the target light effect model. presetting a reference light effect model, the reference light effect model being configured to simulate a change in light; the obtaining the light effect intensity coefficient based on the overexposed region comprises: obtaining a second average brightness value of pixels in the overexposed region; and obtaining the light effect intensity coefficient based on the second average brightness value; the obtaining (206, 312) the target light effect model based on the light effect intensity coefficient comprises: adjusting the reference light effect model based on the light effect intensity coefficient to obtain the target light effect model. obtaining a second average brightness value of pixels in the overexposed region; and obtaining the light effect intensity coefficient based on the second average brightness value; the obtaining (206, 312) the target light effect model based on the light effect intensity coefficient comprises: adjusting the reference light effect model based on the light effect intensity coefficient to obtain the target light effect model.