From Noise to Clarity: Filtering Techniques in Biomedical Imaging

📋 Overview

This project explores filtering techniques in biomedical image processing, focusing on noise reduction and feature preservation in MRI images.

🎯 Objectives

• Implement filters: Mean, Gaussian, Bilateral, and Adaptive.
• Evaluate performance using SNR and PSNR.
• Analyze filter effectiveness on noisy MRI images.

🧪 Structure

1. Image Aspects: Frequency domain analysis, low/high-pass filters.
2. Noise Modeling: Statistical analysis, noise addition, SNR.
3. MRI: Noise sources and reduction techniques.
4. Filtering: Implement filters without built-in functions, evaluate results.
5. Adaptive Filtering: LMS algorithm, parameter tuning.

👨‍🏫 Instructor

Prof. Hamid Aghajan
Sharif University of Technology