Enhancement method of low illumination image based on deep neural network integration

Aiming at the problem that existing low-illumination image enhancement methods cannot simultaneously take into account multiple degrading factors, which leads to poor processing effect when applied to real scenes, deep neural network models facing different image processing tasks are integrated based on neural network integration strategy, and multi-task and multi-stage cascade processing is performed. The low illumination image can be enhanced under the interference of multiple degrading factors. The experimental results show that the proposed method can significantly improve the overall brightness and contrast of the image, and the enhanced image has natural colour distribution and good visual effect, which is obviously superior to the existing mainstream low-illumination image enhancement methods.