Tutorial 6
CEN 465, Digital Image Processing
Instructor : Dr. Abdul Wadood Abdul Waheed
Department of Computer Engineering
College of Computer and Information Sciences
King Saud University
Problem 1.
process.
Explain the model for the image degradation/restoration
1
Problem 2. Give the equation for the image degradation process in
the spatial and frequency domains, detailing every term.
2
Problem 3. The test pattern shown in Figure 1 is corrupted with two
types of noise. The corrupted images along with their histograms are shown
in Figure 2. Give the type of noise for both images and the best filter to
remove the noise for each case.
Figure 1: Noise test pattern
Figure 2: Corrupted images with histograms
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Problem 4. Given the image shown in Table 1. Apply 5 × 5 arithmetic
mean, geometric mean, harmonic mean, contraharmonic mean (Q=0), median, max, min, midpoint and alpha-trimmed mean (d = 0, d = 10, d = 24)
filters on the given image. Apply the filters just on the central location (3, 3).
100
10
50
50
50
100
10
50
50
50
100
10
50
50
50
100
10
50
50
50
100
10
50
50
50
Table 1: An image for noise removal
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Problem 5. Figure 3 shows an image corrupted with periodic noise,
along with the spectrum of the image. Which type of filter will remove this
noise? Plot the filter.
Figure 3: Corrupted image with periodic noise and the spectrum of the
corrupted image
Problem 6.
What procedure can be used to remove the horizontal
lines present in the image shown in Figure 4?
Figure 4: Horizontal lines removal
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Problem 7.
For the estimation of the degradation function by experimentation method, the simulated impulse is used. Plot the impulse of
light.
Problem 8. The image in Figure 5 is corrupted with motion blur and
additive noise. Which filter can be applied to restore the image?
Figure 5: Effects of motion blur and additive noise
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