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

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

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

Answer: A

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

12. Which of the following filtering is done in the frequency domain in correspondence to lowpass filtering in the spatial domain?

A. Gaussian filtering
B. Unsharp mask filtering
C. High-boost filtering
D. None of the mentioned

Answer: A

A plot of Gaussian filter in the frequency domain can be recognized as similar to a lowpass filter in the spatial domain.

13. Using the feature of the reciprocal relationship of filter in the spatial domain and corresponding filter in the frequency domain, which of the following fact is true?

A. The narrower the frequency domain filter results in increased blurring
B. The wider the frequency domain filter results in increased blurring
C. The narrower the frequency domain filter results in decreased blurring
D. None of the mentioned

Answer: A

The characteristics feature of reciprocal relationship says that the narrower the frequency domain filter becomes it attenuates more low-frequency components and so increases blurring.

14. Smoothing in the frequency domain is achieved by attenuating which of the following component in the transformation of a given image?

A. Attenuating a range of high-frequency components
B. Attenuating a range of low-frequency components
C. All of the mentioned
D. None of the mentioned

Answer: A

Since edges and sharp transitions contribute significantly to high-frequency contents in the gray level of an image. So, smoothing is done by attenuating a range of high-frequency components.

15. Which of the following is/are considered as type(s) of lowpass filters?

A. Ideal
B. Butterworth
C. Gaussian
D. All of the mentioned

Answer: D

Lowpass filters are considered of three types: Ideal, Butterworth, and Gaussian.

16. Which of the following lowpass filters is/cover the range of very sharp filter functions?

A. Ideal lowpass filters
B. Butterworth lowpass filter
C. Gaussian lowpass filter
D. All of the mentioned

Answer: A

The ideal lowpass filter covers the range of very sharp filter functioning of lowpass filters.

17. Which of the following lowpass filters is/cover the range of very smooth filter functions?

A. Ideal lowpass filters
B. Butterworth lowpass filter
C. Gaussian lowpass filter
D. All of the mentioned

Answer: A

Gaussian lowpass filter covers the range of very smooth filter functioning of lowpass filters.

18. Butterworth lowpass filter has a parameter, filter order, determining its functionality as a very sharp or very smooth filter function or an intermediate filter function. If the parameter value is very high, the filter approaches which of the following filter(s)?

A. Ideal lowpass filter
B. Gaussian lowpass filter
C. All of the mentioned
D. None of the mentioned

Answer: A

For the high value of filter order, the Butterworth lowpass filter behaves as an Ideal lowpass filter, while for lower order value it has a smoother form behaving like a Gaussian lowpass filter.

19. Butterworth lowpass filter has a parameter, filter order, determining its functionality as a very sharp or very smooth filter function or an intermediate filter function. If the parameter value is of a lower order, the filter approaches which of the following filter(s)?

A. Ideal lowpass filter
B. Gaussian lowpass filter
C. All of the mentioned
D. None of the mentioned

Answer: B

For the high value of filter order, the Butterworth lowpass filter behaves as an Ideal lowpass filter, while for lower order value it has a smoother form behaving like a Gaussian lowpass filter.

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