The invention relates to the technical field of image enhancement, in particular to a self-adaptive image enhancement method, which comprises the following steps of S1, converting an original image tobe processed into an HSV color space from RGB, and decomposing the HSV color space into H, S and V components; s2, performing single-scale decomposition on the V component to obtain low-frequency component information and high-frequency component information of the V component of the image; s3, performing enhancement processing on the low-frequency component in the step S2, and then performing adaptive correction; s4, performing fuzzy enhancement on the high-frequency component in the step S2; s5, carrying out wavelet reconstruction on the low-frequency component and the high-frequency component after enhancement processing in the step S3 and the step S4 to obtain an enhanced brightness V component; s6, converting the HSV image back to the RGB color space; and S7, performing color restoration in the RGB space. According to the method, color distortion is avoided, the contrast and detail information of the image are improved, the visual effect of people is better met, and the method has self-adaptability.