Моделі та методи реконструкції зображень

Abstract

The paper examines the main models and methods of image reconstruction used in modern digital signal processing and computer vision systems. The principles of restoring images from incomplete or distorted data, as well as methods of filtering and image quality enhancement, are analyzed. Classical reconstruction algorithms, statistical approaches, and modern methods based on machine learning are considered. The main areas of application of image reconstruction technologies are described