Методи обробки сигналів та зображень

Abstract

The advancement of signal and image processing methods plays a crucial role in modern technology, particularly in the fields of artificial intelligence, biomedical engineering, and communication systems. Novel techniques such as deep learning-based denoising, super-resolution imaging, and quantum signal processing have enabled unprecedented levels of precision and efficiency. In medical imaging, cutting-edge algorithms enhance MRI, CT, and ultrasound diagnostics, providing earlier and more accurate disease detection. In remote sensing, satellite image analysis relies on AI-powered classifiers to detect environmental changes. This study explores the latest advancements in signal and image processing, emphasizing their applications, challenges, and future potential.