Development of a universal platform for assessing and improving the quality of digital images

This paper presents an image processing system with implemented quality enhancement algorithms in C++. Users can apply various transformations and assess the results using NIQE and PIQE metrics. The system demonstrates high efficiency and can be applied in computer vision tasks and in preparing datasets for machine learning, medicine, and other fields where image quality is of critical importance.