The invention discloses an image nonlinearity enhancement method based on histogram subsection transformation. The method comprises the following steps of: S1, calculating probability density distribution of image gray levels; S2, calculating accumulated probability density functions of the gray levels; S3, dividing the gray levels of the images into three parts, wherein the first part of gray level range is between 0 and 85, the second part of gray level range is between 86 and 170, and the third part of gray level range is between 171 and 255; respectively calculating gray level transformation functions of the three parts of gray levels according to the accumulated probability density functions, namely proposing sectional gray level transformation functions; and S4, transforming the gray levels of the original images by using the sectional gray level transformation functions to acquire the distribution of new gray levels. By the method, the definition of the image is further improved, the excessive enhancement of the image is avoided, and the image vision effect meets the requirement of an eye vision system.