Note: please answer task 3 and 4
Project Title: Design, Implement, and Test Various kinds of
Filters for Image Enhancements
Objective: To be skilled at MATLAB Image Processing Toolbox and
Functions (Or, relevant Python
packages)
The importance of this project can be considered equivalent to
two practice assignments.
Tasks Recommended: Your project will include the following
tasks.
TASK1: Basic Image Filters
Average, Gaussian, Laplacian, Motion, Prewitt, and Sobel Filters
(use MATLAB "fspecial" function)
TASK2: Spatial Domain Filtering
Use "roifilt2", "imgaussfilt", "wiener2", "ordfilt2",
"medfilt2", "imboxfilt" MATLAB functions.
TASK3: Frequency Domain Filtering
"fsamp2", "ftrans2", "fwind1", and "fwind2" MATLAB
functions.
TASK4: Make a high-resolution image from a set of low-resolution
burst mode images.
Project Report Preparation:
For each task and hence filtering, you need to include the
followings in your report:
Provide a brief discussion on the filter of interest.
Provide the Input and processed images with their
histograms.
Provide the MATLAB code used to process the image.
Use appropriate MATLAB built-in demo images (or zone plat
image) for each case.
Page 2 of 2
Instructions:
1. You should upload the project report in Sejong University
Blackboard after you log-in with your
ID
2. Upload a single PDF file. Any other formats are not allowed.
Multiple files are not allowed.
Compressed/Zip files are now allowed.
3. Report submission over e-mail will not be considered.
4. Your report should be presented well enough and should be
readable without any difficulty.
5. Your report should have a title page containing relevant
information including Project Title,
Student Name, Student number, Date of Submission, Course Name,
Semester, etc.
6. If required, further instructions might be given from time to
time via Blackboard notification.
Note: please answer task 3 and 4
Note: please answer task 3 and 4 Project Title: Design, Implement, and Test Various kinds of Filters for Image Enhanceme
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