Denoising and Enhancement Methods for Complex Image Signals based on Deep Learning and Convolutional Neural Networks
Image quality degrades under complex imaging environments due to factors such as mixed noise and illumination degradation. This paper proposes a denoising and enhancement method based on a deep convolutional neural network. The network employs an end-to-end fully convolutional architecture, designing dual-branch multi-...