Umeĺ universitet
Teknisk-naturvetenskaplig fakultet
Institutionen för datavetenskap
Assignment 1
Due date: 17:00 February 9th 2005
Background
Noise reduction is an essential task in nearly all forms of image analysis.
A robust noise filter is often explicitly stated as a prerequisite for other
processing components in image analysis systems.
Faulty sensors, overheated hardware and electromagnetic interference are
but a few of all possible noise sources that are encountered daily in most
forms of image acquisition processes.
Task
You are given seven images: five are noisy versions of the standard Lena image and two are photographs of the course textbook. For each image
Evaluate and classify the noise in the image
Reduce the noise by using Matlab to what you perceive as acceptable levels (for further processing)
Present and evaluate your results
Present your solution in a written report, complete with source code and filtered images.
Your sourcecode should also be available in binary form on your CS UNIX account under the path
~username/edu/ia/lab1/
A correct solution without a satisfactory explanation will not pass grading -
make sure you demonstrate your ability to understand the noise processes and
the methods used to counteract them.
Note:
On your reports front page you should include
Course name
Assignment number
Version
Date
Student name & email
Tutor name
Be prepared to present and defend your work verbally.
This assignment is to be carried out individually.
Your solution must conform to the following architecture in order to be graded:
Your approach to problem A should be located in a file called lab1a.m, problem B in lab1b.m etc.
(as indicated in the table below)
Tutoring
P-O Östberg (p-o@cs.umu.se) is responsible for this assignment and is available for questions during office hours in D418.
You are welcome to post questions via email at all times but prompt replies are not guaranteed outside office hours.
