ECE468/CS519: HOMEWORK 6
due 12/11/2013 at 5pm
submit your report as PDF via email
1) (20pts) An image acquisition system captures blurred images, because the camera moves while its
shutter is open. Suppose the shutter speed, i.e., the time interval while
ECE468: FINAL EXAM
NAME:
INSTRUCTIONS
This is a closed-book exam containing 12 questions
Each student is expected to practice honorable behavior during the exam
Cheating during the exam will result in a failing grade for the entire course
Working on the e
ECE468: EXAM 1
NAME:
INSTRUCTIONS
This is a 45 minute exam containing THREE problems: 1.11.5; 2; and 3.13.2
For the exam, you may use the textbook, one letter-size crib sheet, calculator, and pens/pencils
Cheating during the exam will result in a failing
ECE468: EXAM 2
NAME:
INSTRUCTIONS
This is a 60 minute exam containing FOUR problems: 1.11.3; 2; 3; 4
For the exam, you may use the textbook, one letter-size crib sheet, calculator, and pens/pencils
Cheating during the exam will result in a failing grade f
ECE468: EXAM 2
NAME:
INSTRUCTIONS
This is a 45 minute exam containing FIVE problems
For the exam, you may use the textbook, one letter-size crib sheet, calculator, and pens/pencils
Cheating during the exam will result in a failing grade for the entire cou
ECE468: FINAL EXAM
December 7, 2009
NAME:
INSTRUCTIONS
This is a 70 minute exam containing FOUR problems
Each student is expected to practice honorable behavior during the exam
Cheating during the exam will result in a failing grade for the entire course
ECE468: EXAM 1
NAME:
INSTRUCTIONS
This is a 45 minute exam containing THREE problems: 1.11.5; 2.12.4; 3.13.2
For the exam, you may use the textbook, one letter-size crib sheet, calculator, and pens/pencils
Cheating during the exam will result in a failing
ECE 468 / CS 519:
Digital Image Processing
Image Elements
Prof. Sinisa Todorovic
[email protected]
1
Outline
Image acquisition
Image elements
Matlab
2
Image Acquisition
Image properties depend on:
Image acquisition parameters
Camera distance, vi
ECE 468 / CS 519:
Digital Image Processing
Interpolation, Intensity Transforms
Prof. Sinisa Todorovic
[email protected]
1
Spatial Image Transformations
Afne transforms:
Translation
Scaling
Rotation
Shear
2
Example
(x , y ) = T cfw_(x, y)
x
x
y
ECE 468: Digital Image Processing
Lecture 10
Prof. Sinisa Todorovic
[email protected]
Friday, October 21, 11
1
Outline
Friday, October 21, 11
2D Continuous Fourier Transform (Textbook: 4.5, 4.6)
2
Disclaimer
The following slides are just excerpt
ECE 468: Digital Image Processing
Lecture 12
Prof. Sinisa Todorovic
[email protected]
1
Image Restoration vs. Image Enhancement
Unlike enhancement, improve an image in an objective sense
Model the degradation and use the model for image restorat
ECE468/CS519: HOMEWORK 5
due 11/18/2013
1) (90pts) Let f (x, y ) be an image with pixel values in [0, 255], and g (x, y ) be the output image obtained
after applying the 3 3 Gaussian lter w , with = 1, on f (x, y ), g (x, y ) = w (x, y ) f (x, y ). Also
l
ECE468/CS519: HOMEWORK 4
due 11/01/2013
f (x, y )
Fig. 1.
H (u, v )
g (x, y )
A discrete-space system.
Problem 1 (70pts)
Consider a discrete-space system, shown in Fig. 1, where f (x, y ) is input, g (x, y ) is output, and H (u, v )
is the lter transfer f
ECE 468: Digital Image Processing Lecture 24
Prof. Sinisa Todorovic [email protected]
1
Outline
Color models (Textbook 6.2) Color transformations (Textbook 6.5)
2
Visible Spectrum of EM
3
Based on Psychophysical Studies
Cones in the human eye
ECE 468: Digital Image Processing Lecture 22
Prof. Sinisa Todorovic [email protected]
1
Outline
Homework 7 due Discrete Wavelet Transform (Textbook 7.3.2) Fast Wavelet Transform (Textbook 7.4)
2
Discrete Wavelet Transform
1 f (n) = M
k
1 W (j0
ECE 468: Digital Image Processing Lecture 19
Prof. Sinisa Todorovic [email protected]
1
Outline
Homework 6 due Preparation for Exam 2 Homework 7
2
Next Class
Exam 2
3
ECE 468: Digital Image Processing Lecture 17
Prof. Sinisa Todorovic [email protected]
Outline
Homework 5 due Fourier-Slice Theorem (Textbook 5.11.4) Homework 6
Radon Transform
g (, ) =
f (x, y ) (x cos + y sin )dxdy
continuous space coordinate