Digital
Image Processing
Course Nos. ECE.09.452 and ECE.09.552
Midterm
Exam
Due midnight on
Thursday, March 25, 2021 (via e-mail to shreek@rowan.edu)
Instructions:
- This is a take-home, open book/notes examination, due Thursday,
March 25 (midnight) via e-mail to the instructor.
- In this exam, you are required to restore and enhance
the degraded image that has been assigned to you, and generate a short
report.
- You are required to work individually.
DO NOT consult / discuss with others!
DO NOT compare images.
- This is an exam. Instructor's help will
be limited to justifiable hardware/software issues only (e.g, I am not able to download image........, nothing
shows up when I load image into MATLAB....etc.)
Requirements
· In
this part, you are required to restore & enhance a
degraded image that you have been assigned (directions for accessing the image
follow).
- Design and implement appropriate image restoration and
enhancement algorithms.
- Include gray-level pictures of the original
(before) and restored & enhanced (after) images in your report.
- Provide a brief description of the approach used and
the algorithm design.
- Comment on your approach. What are your conclusions?
- Provide the MATLAB source code (m-file) that you
developed for enhancing the image - I should be able to replicate your
results. Please e-mail this file to shreek@rowan.edu
Directions for
Downloading Images
- Image files are in the MATLAB binary file format and
possess filenames image*_degraded.mat
where * stands for the image number assigned to you. These files can be
downloaded using the link provided below. DO NOT intrude by
downloading an image assigned to another student- remember that you are
bound by the HONOR SYSTEM.
- To import image into MATLAB,
>> load image*_degraded.mat
where * stands for the image number assigned to you.
- If the directions are unclear, or if you have
difficulties accessing your assigned image, e-mail me at shreek@rowan.edu. DO NOT WAIT till the
day before the exam is due!
Images
Follow this link to
the directory where the degraded images are stored: Click here.
Grading
Your
restoration and enhancement algorithm will be graded using both objective and
subjective measures:
- Objective: Were your assumptions
upon observing the degraded image justifiable? Were the restoration and
enhancement algorithms you used appropriate and sufficient? (50 points)
- Subjective: Do the restored and enhanced
images look better? (50 points)
Attached a signed affidavit that you have followed the Honor
Code with your exam report