A hybrid method of low light image enhancement in an electronic device comprises downsampling a high resolution, low light image to obtain a low resolution, low light image and inputting the low resolution, low light image into a low light enhancement model of a deep neural network to obtain a low resolution, enhanced image where semantic information such as true colors, edges, and brightness level are recovered. The high resolution, low light image, the low resolution, low light image, and the low resolution, enhanced image are each input into a mathematical model that performs upsampling and super-resolution tasks to generate a high resolution, enhanced image.