Fourier Domain

Fourier domain analysis leverages the Fourier transform to represent signals and images in terms of their frequency components, enabling efficient processing and analysis of various data types. Current research focuses on applying this framework to diverse problems, including image processing (deraining, RAW-to-sRGB conversion, underwater image enhancement), solving partial differential equations, and domain generalization, often incorporating neural networks and novel architectures like Fourier Neural Operators and Mamba-based methods to improve efficiency and accuracy. These advancements are significantly impacting fields like computer vision, scientific computing, and signal processing by offering improved computational efficiency and enhanced performance in various applications.