Developing Real-Time Image Enhancement Techniques for Improved Visualization and Analysis of Ultrasound Scans

Abstract

Ultrasound imaging is widely used in medical diagnostics due to its safety, low cost, and real-time imaging capability. However, ultrasound images often suffer from noise, low contrast, and speckle artifacts that reduce diagnostic accuracy. This project focuses on developing real-time image enhancement techniques to improve the visualization and analysis of ultrasound scans. The proposed system applies advanced filtering, contrast enhancement, and deep learning-based methods to enhance image clarity without losing critical anatomical details. Real-time processing ensures that enhanced images are available instantly during scanning. Experimental results demonstrate improved contrast, reduced noise, and better edge visibility compared to traditional methods. The system aims to support clinicians in accurate diagnosis and faster decision-making.