An image processing method, comprising: accessing (101a, 103b, 203, 303, 403, 503, 603), luminance components of respective pixel points in an image, and generating a luminance distribution of the image according to the luminance components; generating (102a, 104b, 404, 504, 604), a luminance mapping relation based on a standard luminance distribution corresponding to a scene of the image and the luminance distribution of the image; and adjusting (103a, 105b, 206, 308, 405, 505, 605), the luminance components of the respective pixel points of the image according to the luminance mapping relation to generate a first processed image; the image processing method characterized by further comprising: performing (406, 506, 606), edge recognition of the first processed image; determining (407, 507, 607), a filtering kernel that performs a filtering processing of the image according to an edge recognition result; performing (408, 508, 608), a filtering processing of the first processed image based on the filtering kernel to obtain a low-frequency image corresponding to the first processed image and a high-frequency image corresponding to the first processed image; and determining (409, 509, 609), a first gain coefficient of the high-frequency image, performing an enhancement processing of the high-frequency image according to the first gain coefficient, and performing an image fusion of the low-frequency image and an enhanced high-frequency image to obtain a second processed image. accessing (101a, 103b, 203, 303, 403, 503, 603), luminance components of respective pixel points in an image, and generating a luminance distribution of the image according to the luminance components; generating (102a, 104b, 404, 504, 604), a luminance mapping relation based on a standard luminance distribution corresponding to a scene of the image and the luminance distribution of the image; and adjusting (103a, 105b, 206, 308, 405, 505, 605), the luminance components of the respective pixel points of the image according to the luminance mapping relation to generate a first processed image; the image processing method characterized by further comprising: performing (406, 506, 606), edge recognition of the first processed image; determining (407, 507, 607), a filtering kernel that performs a filtering processing of the image according to an edge recognition result; performing (408, 508, 608), a filtering processing of the first processed image based on the filtering kernel to obtain a low-frequency image corresponding to the first processed image and a high-frequency image corresponding to the first processed image; and determining (409, 509, 609), a first gain coefficient of the high-frequency image, performing an enhancement processing of the high-frequency image according to the first gain coefficient, and performing an image fusion of the low-frequency image and an enhanced high-frequency image to obtain a second processed image. performing (406, 506, 606), edge recognition of the first processed image; determining (407, 507, 607), a filtering kernel that performs a filtering processing of the image according to an edge recognition result; performing (408, 508, 608), a filtering processing of the first processed image based on the filtering kernel to obtain a low-frequency image corresponding to the first processed image and a high-frequency image corresponding to the first processed image; and determining (409, 509, 609), a first gain coefficient of the high-frequency image, performing an enhancement processing of the high-frequency image according to the first gain coefficient, and performing an image fusion of the low-frequency image and an enhanced high-frequency image to obtain a second processed image.