├── A guided tour to Image Processing and Analysis Using Deep Learning with MATLAB.docx ├── Assignment0_Guidelines.docx ├── Assignment1_Guidelines_STUDENTS.docx ├── Assignment1_denoising_dl_student.mlx ├── Assignment2_Guidelines_STUDENTS.docx ├── Assignment2_segmentation_dl_student.mlx ├── LICENSE.txt ├── README.md ├── SECURITY.md ├── Syllabus.docx ├── Topic1_Denoising_using_deep_learning.pdf └── Topic2_Semantic_Image_Segmentation.pdf /A guided tour to Image Processing and Analysis Using Deep Learning with MATLAB.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/A guided tour to Image Processing and Analysis Using Deep Learning with MATLAB.docx -------------------------------------------------------------------------------- /Assignment0_Guidelines.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Assignment0_Guidelines.docx -------------------------------------------------------------------------------- /Assignment1_Guidelines_STUDENTS.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Assignment1_Guidelines_STUDENTS.docx -------------------------------------------------------------------------------- /Assignment1_denoising_dl_student.mlx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Assignment1_denoising_dl_student.mlx -------------------------------------------------------------------------------- /Assignment2_Guidelines_STUDENTS.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Assignment2_Guidelines_STUDENTS.docx -------------------------------------------------------------------------------- /Assignment2_segmentation_dl_student.mlx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Assignment2_segmentation_dl_student.mlx -------------------------------------------------------------------------------- /LICENSE.txt: -------------------------------------------------------------------------------- 1 | Copyright (c) 2021, The MathWorks, Inc. 2 | All rights reserved. 3 | Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 4 | 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 5 | 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 6 | 3. In all cases, the software is, and all modifications and derivatives of the software shall be, licensed to you solely for use in conjunction with MathWorks products and service offerings. 7 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 8 | 9 | 10 | 11 | 12 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Teaching digital image processing using deep learning with MATLAB® 2 | [![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) 3 | [![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) 4 | 5 | ## Introduction 6 | 7 | This repository contains two lecture modules for image processing using deep learning techniques: 8 | * Image denoising using deep learning 9 | * Semantic image segmentation using deep learning 10 | 11 | It is recommended that these modules are introduced in an (elective) image processing class. 12 | 13 | ## Content 14 | Each module consists of the following material: 15 | * Lecture slides (.pdf, power point slides provided upon request) 16 | * Homework assignment (MATLAB live script) 17 | * Homework assignment solution (MATLAB live script, provided upon request) 18 | * Detailed homework assignment instructions for students 19 | * Detailed homework assignment instructions for instructors (provided upon request) 20 | 21 | The following materials are also provided for further guidance: 22 | * Syllabus 23 | * Instructions on using image labeler 24 | * A guided tour to image processing using deep learning with MATLAB 25 | * Term project ideas for image processing using deep learning (provided upon request) 26 | 27 | ## Contact 28 | 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). 29 | 30 | -------------------------------------------------------------------------------- /SECURITY.md: -------------------------------------------------------------------------------- 1 | # Reporting Security Vulnerabilities 2 | 3 | If you believe you have discovered a security vulnerability, please report it to 4 | security@mathworks.com. Please see 5 | MathWorks Vulnerability Disclosure Policy for Security Researchers 6 | for additional information. 7 | -------------------------------------------------------------------------------- /Syllabus.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Syllabus.docx -------------------------------------------------------------------------------- /Topic1_Denoising_using_deep_learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Topic1_Denoising_using_deep_learning.pdf -------------------------------------------------------------------------------- /Topic2_Semantic_Image_Segmentation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathWorks-Teaching-Resources/deep-learning-for-image-processing/90ade545be5acb7ead93a9500c96980342f899d5/Topic2_Semantic_Image_Segmentation.pdf --------------------------------------------------------------------------------