In the field of image enhancement, the method of Intuitionistic Fuzzy Sets (IFS) can′t improve the contrast of the image, and the method of Histogram Equalization (HE) may cause over enhancement and loss of detailed information.To solve the problems, an image enhancement algorithm based on IFS and HE is proposed.The image to be enhanced contains a lot of uncertain information, so a new IFS-based algorithm of image enhancement is proposed.This algorithm is realized by synthesizing the membership and non-membership of pixels in an IFS, which can significantly enhance the detailed information of the image, but cannot improve the contrast of the image.Therefore, the IFS-based algorithm is combined with HE, in which IFS-based enhancement is given priority and the defects of HE-based enhancement are suppressed.The algorithm can not only enhance the details of the image, but also improve the contrast of the image.Finally, the effectiveness and reliability of the algorithm are verified by a typical example of image enhancement.