Frequency Domain Filters MCQ [Free PDF] - Objective Question Answer for Frequency Domain Filters Quiz

1. 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.

2. 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

3. 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.

4. To set the average value of an image zero, which of the following term would be set 0 in the frequency domain, and the inverse transformation is done, where F(u, v) is the Fourier transformed function of f(x, y)?

A. F(0, 0)
B. F(0, 1)
C. F(1, 0)
D. None of the mentioned

Answer: A

For an image f(x, y), the Fourier transform at the origin of an image, F(0, 0), is equal to the average value of the image.

5. What is the name of the filter that is used to turn the average value of a processed image to zero?

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

Answer: B

The notch filter sets F (0, 0), to zero, hence setting up the average value of image zero. The filter is named so because it is a constant function with a notch at origin and so can set F (0, 0) to zero leaving out other values.

6. Which of the following filter(s) attenuates high frequency while passing low frequencies of an image?

A. Unsharp mask filter
B. Lowpass filter
C. Zero-phase-shift filter
D. All of the mentioned

Answer: B

A lowpass filter attenuates high frequencies while passing low frequencies.

7. Which of the following filter(s) attenuates low frequency while passing high frequencies of an image?

A. Unsharp mask filter
B. Highpass filter
C. Zero-phase-shift filter
D. All of the mentioned

Answer: B

A highpass filter attenuates low frequency while passing high frequencies.

8. Which of the following filter have a less sharp detail than the original image because of attenuation of high frequencies?

A. Highpass filter
B. Lowpass filter
C. Zero-phase-shift filter
D. None of the mentioned

Answer: B

A lowpass filter attenuates high so the image has less sharp details.

9. The feature(s) of a highpass filtered image is/are ___________
A. Have less gray-level variation in smooth areas
B. Emphasized transitional gray-level details
C. An overall sharper image
D. All of the mentioned

Answer: D

A highpass filter attenuates low frequency so have less gray-level variation in smooth areas, and allows high frequencies so have emphasized transitional gray-level details, resulting in a sharper image.

10. A spatial domain filter of the corresponding filter in the frequency domain can be obtained by applying which of the following operation(s) on the filter in the frequency domain?

A. Fourier transform
B. Inverse Fourier transform
C. None of the mentioned
D. All of the mentioned

Answer: B

Filters in the spatial domain and frequency domain have a Fourier transform pair relation. A spatial domain filter of the corresponding filter in the frequency domain can be obtained by applying inverse Fourier transform on the frequency domain filter.

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