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Images taken in low illumination have some quality defects, such as low contrast, low brightness and missing details, which bring difficulties to image processing. An improved zero reference depth curve low illumination image enhancement algorithm is proposed. By introducing the parameters related to the size of convolution kernel into the spatial consistency loss function, the enhancement effect of images with different sizes is unified. The color invariant loss and lighting smoothing loss function are related to the input image type, so that the peak signal-to-noise ratio of the enhancement effect is increased by 17.75% and the contrast is increased by 26.75%. By using symmetric convolution structure, the problem of large computation of the original algorithm is solved. Zero-DCE is optimized by using MobileNetV2 lightweight network, which reduces the computational complexity of the network model and ensures the better enhancement effect of the model.