Deep Video-Denoising Based on Multi-Scale Feature Extraction and Fusion Mechanism
Shengsong Wang, Huanzhen Wang, Zhengming Ma, Weili Li, Xiaoqing Yin · 2023
In recent years, the rapid development of deep learning methods has provided new ideas and methods for video denoising. In this paper, a deep video denoising model based on multi-scale feature extraction and fusion mechanism is proposed. The model extracts features from the original and down-sampled input video images separately, fuses the extracted multi-scale feature maps, and generates the final video denoising results on this basis. Compared with the existing algorithm, the proposed method exhibits better video denoising performance while achieving faster computation speed, which has promising application prospects.