Ring Artifact

Ring artifacts, unwanted distortions in images or signals, hinder accurate interpretation and analysis across diverse fields, from medical imaging to AI-generated content. Current research focuses on developing methods to detect and remove these artifacts using techniques like conditional inpainting, adaptive projected guidance in diffusion models, and convolutional neural networks, often incorporating wavelet or spectral analysis to better isolate and target the artifacts. Successfully mitigating ring artifacts is crucial for improving the reliability of diagnostic tools, enhancing the quality of synthetic media, and advancing the accuracy of various machine learning applications.