EVALUATION OF DIGITAL IMAGES BASED ON C AND RQ METRICS

Abstract

In this paper, a software tool was developed that calculates the C (perfectness) and RQ (resolution) metrics for qualitative assessment of digital images. Using Python and OpenCV libraries, all image files in the image folder are automatically analyzed and the results are visually displayed through tables and graphs. The research results showed that the C and RQ metrics allow assessing image quality through accurate numerical indicators. This approach is of practical importance in scientific research, computer vision systems, and image processing.