Ефективність обробки зображень для дистанційних курсів

Abstract

The work is devoted to the study of technical optimization of images in distance learning systems. The role of efficient graphical content processing in improving the quality, accessibility, and performance of educational resources is substantiated. The main methods of Digital Image Processing, including compression, scaling, filtering, and format conversion, are analyzed. It is shown that proper image optimization reduces data size, accelerates content delivery, and enhances user experience, thereby increasing the overall effectiveness of distance learning systems.