Smoothing Linear Spatial Filter MCQ [Free PDF] – Objective Question Answer for Smoothing Linear Spatial Filter Quiz

11. Two filters of similar size are used for smoothing images having impulse noise. One is a median filter while the other is a linear spatial filter. Which would the blurring effect of both?

A. Median filter effects in considerably less blurring than the linear spatial filters
B. Median filter effects in considerably more blurring than the linear spatial filters
C. Both have the same blurring effect
D. All of the mentioned

Answer: A

For impulse noise, the median filter is much more effective for noise reduction and causes considerably less blurring than the linear spatial filters.

 

12. An image contains noise having the appearance of black and white dots superimposed on the image. Which of the following noise(s) has the same appearance?

A. Salt-and-pepper noise
B. Gaussian noise
C. All of the mentioned
D. None of the mentioned

Answer: C

An impulse noise has an appearance as black and white dots superimposed on the image. This is also known as Salt-and-pepper noise.

 

13. While performing the median filtering, suppose a 3*3 neighborhood has a value (10, 20, 20, 20, 15, 20, 20, 25, 100), then what is the median value to be given to the pixel under filter?

A. 15
B. 20
C. 100
D. 25

Answer: B

The values are first sorted and so turn out to (10, 15, 20, 20, 20, 20, 20, 25, and 100). For a 3*3 neighborhood the 5th largest value is the median, and so is 20.

 

14. Which of the following are forced to the median intensity of the neighbors by the n*n median filter?

A. Isolated cluster of pixels that are light or dark in comparison to their neighbors
B. Isolated cluster of pixels whose area is less than one-half the filter area
C. All of the mentioned
D. None of the mentioned

Answer: C

The isolated cluster pixel value doesn’t come as a median value and since is either light or dark as compared to neighbors, so is forced with the median intensity of neighbors that aren’t even close to their original value and so are sometimes termed “eliminated”.

If the area of such isolated pixels is < n2/2, that is again the pixel value won’t be a median value and so is eliminated.
Larger cluster pixels value are more pronounced to be a median value, so are considerably less forced to median intensity.

 

15. Which filter(s) were used to find the brightest point in the image?

A. Median filter
B. Max filter
C. Mean filter
D. All of the mentioned

Answer: B

A max filter gives the brightest point in an image and so is used.

 

16. The median filter also represents which of the following ranked sets of numbers?

A. 100th percentile
B. 0th percentile
C. 50th percentile
D. None of the mentioned

Answer: C

Since the median filter forces, median intensity to the pixel which is almost the largest value in the middle of the list of values as per the ranking so represents the 50th percentile ranked set of numbers.

 

17. Which of the following filter represents a 0th percentile set of numbers?

A. Max filter
B. Mean filter
C. Median filter
D. None of the mentioned

Answer: D

A min filter since provides the minimum value in the image, so represents a 0th percentile set of numbers.

 

18. Which of the following fact(s) is/are true for the relationship between the low-frequency component of Fourier transform and the rate of change of gray levels?

A. Moving away from the origin of transform the low frequency corresponds to smooth gray level variation
B. Moving away from the origin of transformation the low frequencies correspond to an abrupt change in gray level
C. All of the mentioned
D. None of the mentioned

Answer: C

Moving away from the origin of transform the low frequency corresponds to the slowly varying components in an image. Moving further away from origin the higher frequencies corresponds to faster gray level changes.

 

19. Which of the following fact(s) is/are true for the relationship between the high-frequency component of Fourier transform and the rate of change of gray levels?

A. Moving away from the origin of transform the high frequency corresponds to smooth gray level variation
B. Moving away from the origin of transformation the higher frequencies correspond to an abrupt change in gray level
C. All of the mentioned
D. None of the mentioned

Answer: B

Moving away from the origin of transform the low frequency corresponds to the slowly varying components in an image. Moving further away from origin the higher frequencies corresponds to faster gray level changes.

 

20. What is the name of the filter that multiplies two functions F(u, v) and H(u, v), where F has complex components too since is a Fourier transformed function of f(x, y), in an order that each component of H multiplies both real and complex part of the corresponding component in F?

A. Unsharp mask filter
B. High-boost filter
C. Zero-phase-shift-filter
D. None of the mentioned

Answer: C

Zero-phase-shift-filter multiplies two functions F(u, v) and H(u, v), where F has complex components too since is Fourier transformed function of f(x, y), in an order that each component of H multiplies both real and complex part of the corresponding component in F.

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