Quiz 1 Practice Problems - Digital Image Processing | ECE 6258, Quizzes of Digital Signal Processing

Material Type: Quiz; Class: Digital Image Processing; Subject: Electrical & Computer Engr; University: Georgia Institute of Technology-Main Campus; Term: Fall 2003;

Typology: Quizzes

Pre 2010

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GEORGIA INSTITUTE OF TECHNOLOGY
School of Electrical and Computer Engineering
ECE 6258
Digital Image Processing
Quiz #1
Friday, September 26, 2003
Name:
GENERAL INSTRUCTIONS
1. This is a open book, open notes exam.
2. Please do all of your work on the exam itself. You may use the backs of the pages, if necessary.
3. Please be as neat and well organized as possible.
4. Clearly indicate your answers.
Problem Max Score
120
220
320
420
520
Total 100
1
pf3
pf4
pf5

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GEORGIA INSTITUTE OF TECHNOLOGY

School of Electrical and Computer Engineering

ECE 6258

Digital Image Processing

Quiz

Friday, September 26, 2003

Name:

GENERAL INSTRUCTIONS

  1. This is a open book, open notes exam.
  2. Please do all of your work on the exam itself. You may use the backs of the pages, if necessary.
  3. Please be as neat and well organized as possible.
  4. Clearly indicate your answers.

Problem Max Score 1 20 2 20 3 20 4 20 5 20 Total 100

Problem Q.1: The Peruvian blowfish, which lives in shallow water, can sense light intensities that fall in the range from 10 to 1000 (measured in arbitrary units). Over this range the threshold for the fish’s ability to distinguish between two different light intensities, I and I +∆I, satisfies Weber’s Law with ∆I I

How many gray levels can the blowfish distinguish?

Problem Q2.3: Each of the items in Column A represents a symmetry condition on the impulse response of a 2-D digital filter. The items in Column B represent implied conditions in the frequency domain (plus a few additional equations whose intent, frankly, is to deceive). For each item in Column A, find an implied condition in Column B. Do not assume that h[n 1 , n 2 ] is real.

Column A Column B (i) h[n 1 , n 2 ] = −h∗[n 1 , n 2 ] (a) H(ω 1 , ω 2 ) = H(−ω 2 , ω 1 ) (ii) h[n 1 , n 2 ] = −h[n 2 , n 1 ] (b) H(ω 1 , ω 2 ) = H∗(ω 1 , ω 2 ) (iii) h[n 1 , n 2 ] = h[−n 2 , n 1 ] (c) e{H(ω 1 , ω 2 )} = 0 (iv) h[n 1 , n 2 ] = h[5 − n 1 , 5 + n 2 ] (d) H(ω 1 , ω 2 ) = −H(ω 2 , ω 1 ) (v) h[n 1 , n 2 ] = −h∗[−n 1 , −n 2 ] (e) m{H(ω 1 , ω 2 )} = 0 (f) H(ω 1 , ω 2 ) = −H∗(−ω 1 , −ω 2 ) (g) H(ω 1 , ω 2 ) = e−j5(ω^1 −ω^2 )H(−ω 1 , ω 2 ) (h) H(ω 1 , ω 2 ) = ej5(ω^1 −ω^2 )H∗(ω 1 , ω 2 ) (i) H(ω 1 , ω 2 ) = H∗(ω 2 , ω 1 ) (j) H(ω 1 , ω 2 ) = H(ω 2 , −ω 1 )

Problem Q2.4: Let x(t 1 , t 2 ) be a continuous image with Fourier transform X(Ω 1 , Ω 2 ) given in the figure below. The shaded region denotes a value of 1; the unshaded regions have a value of zero. The image is sampled in t 1 and t 2 with an ideal sampling system, resulting in a digital image x[n 1 , n 2 ].

2 π 4 π 6 π radians/second

2 π

4 π

6 π

(a) Determine the minimum sampling rates 1/T 1 and 1/T 2 such that x[n 1 , n 2 ] = x(n 1 T 1 , n 2 T 2 ) will represent x(t 1 , t 2 ) without aliasing. (b) Is your answer unique? (c) Assume that 1/T 1 = 1/T 2 = 3 samples/sec. Will x[n 1 , n 2 ] be purely real, purely imaginary, or complex? (d) Assume that 1/T 1 = 1/T 2 = 3 samples/sec. Is x[n 1 , n 2 ] separable?