End-to-End Denoising of Dark Image Using Residual Dense Network

Abstract

When taking pictures in extremely dark light, the image taken is usually very dark and noisy due to the small amount of light entering, and there is clear distortion of color. Since the method of using multi-frame or long-exposure has limitations, we use the single-frame denoising method based on residual dense network (RDN), which uses residual dense block (RDB) to makes full use of local features. Our method has achieved better results than state-of-the-art methods. In addition, we have applied the trained model without fine-tuning on photos captured by different cameras and have obtained similar end-to-end enhancements.