The invention is suitable for the field of internet communication, and discloses a graphic processing unit (GPU)-based low-luminance image enhancement method. According to the method, a model is programmed by using a compute unified device architecture (CUDA). The method comprises the following steps of: acquiring red green blue (RGB) channel data of an original image and size information of the original image; initializing a GPU, namely determining the thread number of executing a Kernel function according to the size of the original image; starting the Kernel function to solve a luminance component of the original image, and performing image enhancement processing on the original luminance component, wherein the luminance component processing comprises the non-linear modulation and contrast enhancement of the luminance component; starting the Kernel function, restoring the color of the image, returning a calculation result to a central processing unit (CPU) end, and saving as a picture; and releasing a GPU video memory. By the method, the self-adaption regulation of the image luminance is realized, and the contrast enhancement is performed by a high-dimensional space image geometric method, so that a halation phenomenon is avoided; and particularly, acceleration is performed by using the GPU, so that the processing speed is improved effectively.