EE211A
Fall Quarter, 2009
Digital Image Processing I
Final Exam
1. 2D DFT (20 points)
The above 256x256 image u( m, n) contains a periodic pattern of 64x64 squares of
intensity 255 on a background of intensity 0. The center (not the upper left corner) of
EE211A
Fall Quarter, 2009
Digital Image Processing I
Final Exam Solutions
1. 2D DFT (20 points)
The above 256x256 image u( m, n) contains a periodic pattern of 64x64 squares of
intensity 255 on a background of intensity 0. The center (not the upper left c
EE211A
Fall Quarter, 2011
Digital Image Processing I
12/07/2011
Final Exam
1. KL Transform (25 points)
Consider a random vector u that has two possible realizations:
1
u0 = a and u1 =
1
0
The realization u0 occurs with probability p , and the reali
EE 211A Fall Quarter, 2010 Instructor: John Villasenor
Digital Image Processing I Handout 24
Comments on Computer Assignment 4 I (1a) DCT-based Zonal Compression
(a)
(b)
(c) (d) Figure 1. Zonal Compression (a) original image (b) T=1 (c) T=2 (d) T=4 The no
EE 211A Fall Quarter, 2010 Instructor: John Villasenor
Digital Image Processing I Handout 14
Comments on Computer Assignment 2 1. The IIR filter can be implemented using the following code. The input x(m, n) is stored in image_input[][] and the output y (
EE211A
Fall Quarter, 2012
Digital Image Processing I
Midterm Solutions
(a)
L' Hpital's rule:
If
lim f (x) lim g(x) 0
xc
xc
then
f ( x)
f '( x )
lim
x c g '( x )
g ( x)
where
df ( x)
f '( x)
dx
dg ( x)
g '( x)
dx
lim
xc
(b)
N 1
ai
i 0
1 aN
1 a
1. 2D C
EE211A
Fall Quarter, 2010
Digital Image Processing I
Midterm Solutions
Note that
1. 2D Convolution and Autocorrelation (25 points)
Consider the continuous 2D function f(x,y) given below, which has value 1 where the dark
regions are located and 0 elsewhere
EE211A Fall Quarter, 2009
Digital Image Processing I
Midterm Solutions
1. 2D Convolution and Autocorrelation (20 points) Consider the continuous 2D function f(x,y) given below, which has value 1 where the dark regions are located and 0 elsewhere.
(a) (10
EE211A Fall Quarter, 2008
Digital Image Processing I
Midterm Solutions
1. 2D Convolution and Autocorrelation (25 points)
Consider the continuous 2D function f(x,y) given below, which has value 1 where the dark regions are located and 0 elsewhere.
(a) (14
EE211A Fall Quarter, 2007
Digital Image Processing I
Midterm Solutions
1. 2D Convolution and Autocorrelation (25 points)
Consider the continuous 2D function f(x,y) given below, which has value 1 where the dark regions are located and 0 elsewhere.
(a) (14
EE211A Fall Quarter, 2006
Digital Image Processing I
Midterm Solutions
1. 2D Convolution and Autocorrelation (20 points)
Consider the continuous 2D function f(x,y) given below, which has value 1 where the dark regions are located and 0 elsewhere.
(a) (10
EE211A
Fall Quarter, 2010
Digital Image Processing I
Final Exam
1.
KL Transform (25 points)
Consider a three-dimensional random vector u that has the following three
equiprobable realizations:
2
1
1
u0 = 1 , u1 = 2 , u2 = 1 .
1
1
2
Let the KL transform
EE211A
Fall Quarter, 2011
Digital Image Processing I
Midterm Solutions
1. 2D Convolution and Autocorrelation (25 points)
Consider the continuous 2D function f(x,y) given below, which has value 1 where the dark
regions are located and 0 elsewhere.
(a) (15
PDF Info
Users Guide
Copyright 1999 E. I. du Pont de Nemours and Company
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (ImageMagick), to deal in ImageMagick without restric
Image Library Version 2
C /C + Im ag e Pr oc es si ng Ro ut in es fo r EE 21 1A
Documentation prepared by Matthew Fong (mattfong@icsl.ucla.edu)
The ANSI/ISO C/C+ routines in the library image_lib.c are intended to illustrate concepts introduced in
image p
EE211A
Fall Quarter, 2011
Digital Image Processing I
12/07/2011
Final Exam
1. KL Transform (25 points)
Consider a random vector
that has two possible realizations:
and
The realization
occurs with probability p , and the realization occurs with
probability
EE211A
Fall Quarter, 2010
Digital Image Processing I
Final Exam Solutions
1.
KL Transform (25 points)
Consider a three-dimensional random vector u that has the following three
equiprobable realizations:
2
1
1
u0 = 1 , u1 = 2 , u2 = 1 .
1
1
2
Let the KL