Development of a Software Application to Improve the Quality of a Visual Image

Abstract

Digital image enhancement plays a critical role in modern visual systems, computer vision, and multimedia technologies. This research presents the development of a software tool designed in Python to enhance the quality of digital images using adaptive filtering and interpolation algorithms. The system integrates multiple enhancement techniques, including non-local means filtering, Gaussian blur, and bicubic interpolation, to improve contrast, sharpness, and overall perceptual quality. Experimental results demonstrate that bicubic interpolation and non-local means filtering outperform traditional methods in terms of PSNR and noise suppression efficiency. The developed application provides a practical, low-cost, and scalable framework for image quality improvement in visual inspection, remote sensing, and security domains