Denoising Network

Denoising networks are artificial neural networks designed to remove noise from various data types, primarily images and audio, improving data quality for analysis and downstream tasks. Current research focuses on integrating denoising networks into larger frameworks, such as diffusion models for image generation and autonomous driving systems, and on improving their efficiency and generalization capabilities through techniques like sparse mixture-of-experts and frequency domain processing. These advancements have significant implications across diverse fields, enhancing the accuracy of medical image analysis, improving the performance of autonomous systems, and enabling more robust and efficient signal processing in various applications.