# deep-learning-for-image-processing

**Repository Path**: MathWorks-Teaching-Resources/deep-learning-for-image-processing

## Basic Information

- **Project Name**: deep-learning-for-image-processing
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-06-29
- **Last Updated**: 2026-06-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Teaching digital image processing using deep learning with MATLAB®
[![View deep-learning-for-image-processing on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/90496-deep-learning-for-image-processing)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/deep-learning-for-image-processing)

## Introduction

This repository contains two lecture modules for image processing using deep learning techniques:
* Image denoising using deep learning
* Semantic image segmentation using deep learning

It is recommended that these modules are introduced in an (elective) image processing class. 

## Content
Each module consists of the following material: 
* Lecture slides (.pdf, power point slides provided upon request)
* Homework assignment (MATLAB live script)
* Homework assignment solution (MATLAB live script, provided upon request)
* Detailed homework assignment instructions for students
* Detailed homework assignment instructions for instructors (provided upon request)

The following materials are also provided for further guidance:
* Syllabus
* Instructions on using image labeler
* A guided tour to image processing using deep learning with MATLAB
* Term project ideas for image processing using deep learning (provided upon request)

## Contact
Any questions or comments, requests for the instructor copies should be addressed to [ai-education-contact@group.mathworks.com](mailto:ai-education-contact@group.mathworks.com).