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Denoising Dental X-ray Images

Overview

This repository contains the code and paper for an academic project focused on denoising dental X-ray images. The project provided an opportunity to explore practical aspects of the Signal Processing field, particularly in Image Processing. A comparison was made between two denoising techniques: BM3D and Convolutional Autoencoders.

Paper

For more detailed information about the project, please refer to our paper: TSS_Project_Paper.pdf.

Repository Files

You can find in this repository :

  • Notebook: TSS_notebook_last.ipynb
  • Requirements: requirements.txt
  • Paper: TSS_Project_Paper.pdf

Data Source

The data used in this project was obtained from Kaggle.

Contributors

This project was a collaborative effort between myself and my classmate, Rayhan Ben Youssef.

About

Academic Project - This project afforded us a valuable opportunity to delve into the practical aspects of the Signal Processing field, with a specific emphasis on Image Processing. It involved a comparison between BM3D and Convolutional Autoencoders.

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