Frequency Imaging

Frequency imaging leverages the frequency domain representation of signals (e.g., images, audio, sensor data) to enhance analysis and processing. Current research focuses on improving the accuracy and robustness of frequency-based methods, particularly through advanced model architectures like Swin Transformers and Vision Transformers, and refined algorithms such as debiased estimators and frequency-guided masking for self-supervised learning. These advancements are impacting diverse fields, including image processing, audio denoising, and condition monitoring of machinery, by enabling more accurate classification, improved feature extraction, and more reliable uncertainty quantification.