CSCE 763: Digital Image Processing
Spring 2014
Yan Tong
Department of Computer Science and Engineering
University of South Carolina
Todays Agenda
Welcome
Tentative Syllabus
Topics covered in the co
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Homework #4
Due Wednesday, April 16th
1. During acquisition, an image undergoes uniform linear motion in the vertical direction for a time
interval 1 . T
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Homework #2
Due Feb 17th , Monday
1. The median , of a set of numbers is such that half the values in the set are below , and the other
half are above it
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Homework #5
Due Tuesday, April, 28th, 2014
1. A binary image contains straight lines oriented horizontally, vertically, at 45, and at -45. Give a
set of
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Homework #1
Due time: Wednesday, Jan 29th, before class starts
1.
Thinking purely in geometric terms, estimate the diameter of the smallest printed dot t
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Homework #3
Due Feb 26th , Wednesday
1. The images shown below are quite different, but their histograms are the same. Suppose that each
image is blurred
Announcement
Homework #3 has been posted in dropbox and class website.
Due on Wednesday, Feb 26th.
On the Paper Reading
Each student has 10 minutes (9 minutes for presentation and 1
minute for questio
Color Image Processing
The world is colorful
Color feature is one of the natural cue human used for
object detection/recognition
Thousands of color shades vs dozens of gray levels
Various applicat
Todays Calendar
Intensity Transformation and Spatial Filtering
Reading: Chapter 3.
Probability Methods
nk
p ( zk ) =
,
MN
L 1
p( z ) = 1
k
k =1
L 1
L 1
m = zk p( zk ), = ( zk m ) 2 p( zk )
2
k =1
Wha
Todays Agenda
Modeling degradations
Image restoration
Estimation by Modeling Cont.
Constant velocity along x and y direction:
x0 (t ) = at / T
y0 (t ) = bt / T
Estimation by Modeling Cont.
An example
Todays Agenda
Fourier Transform
Image degradation
On the Midterm Exam
Monday, 3/17 in class
Closed book and closed notes
One page cheat sheet is allowed
A calculator is allowed
Covers the topic
Proposal of Final Project
March 3rd before the class starts. Late submission penalty
applies.
Include
Title and names of the team member
Topic: a research project or a survey
Brief introduction on
Review of Chapter 6, 8, 9, and 10
Chapter 6
Fundamentals of color image processing
Color transformation
Chapter 8
Fundamentals of image compression
Image compression methods
Chapter 9
Basic mo
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Midterm Exam
03/17/2014
1.
(1) Given the image region as shown in Figure 1 and = cfw_1, what is the shortest m-path between p (the
pixel at the upper-lef
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Quiz #1
Feb. 12, 2014
Suppose that a 3-bit image (L=8) of size 8*8 has the intensity distribution as the table below.
Please give the new intensity distr
Review of Chapter 2- Chapter 5
Chapter 2
Human vision system
Basics of image processing
Chapter 3
Intensity transformation
Spatial filtering
Chapter 4
Fourier transform
Image convolution in f
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Quiz #3
April 16th , 2014
Given a binary image A (Fig. 1a) and a structure element B (Fig.1b), perform a closing operation
A B . You can assume zero padd
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Midterm Exam Sample Questions
1.
(1) Given the image region as shown in Figure 1(c) and = cfw_1, what is the shortest m-path between p
(the pixel at the
Spring 2014
CSCE 763: DIGITAL IMAGE PROCESSING
Final Exam Sample Question Set
Name:
Name
1. Single choice problems
(1) Which color model is used in your color printer? (5 pts)
a. RGB
b. CMY/CMYK
c. HS
Announcement
We have a quiz on Wednesday, Feb. 12th . It covers the topic of
histogram processing.
Homework #2 was posted online.
Homework #2 is due Monday, Feb. 17th before class ends.
Todays Agenda
Basic Concepts in Digital Image Processing
Announcement
Homework #1 was posted in dropbox and on class website.
Due time: Wednesday, Jan 29th , before class starts.
Todays Agenda
Image Sampling and Q
Class Communication
Class website
http:/www.cse.sc.edu/~tongy/csce763/csce763.html
Department dropbox
dropbox.cse.sc.edu
Basic Concepts in Digital
Image Processing
Now,
Introducing some basic concepts
CS 445 HW #1 Solutions
1. Text problem 2.2
Brightness adaptation
2. Text problem 2.5
From the geometry of Fig. 2.3, 7mm/35mm = z/500mm, or z = 100mm. So the
target size is 100mm on the side. We have a