1. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighborhood of the filter mask.

A. Sum

B. Product

C. Average

D. Dot Product

2. Averaging filters is also known as ____________ filter.

A. Low pass

B. High pass

C. Bandpass

D. None of the Mentioned

3. What are the undesirable side effects of Averaging filters?

A. No side effects

B. Blurred image

C. Blurred edges

D. Loss of sharp transitions

4. A spatial averaging filter in which all coefficients are equal is called ________.

A. Square filter

B. Neighbourhood

C. Box filter

D. Zero filter

5. Which term is used to indicate that pixels are multiplied by different coefficients?

A. Weighted average

B. Squared average

C. Spatial average

D. None of the Mentioned

6. The non-linear spacial filters whose response is based on the ordering of the pixels contained is called _____________.

A. Box filter

B. Square filter

C. Gaussian filter

D. Order-statistic filter

7. Impulse noise in Order-statistic filter is also called as _______________

A. Median noise

B. Bilinear noise

C. Salt and pepper noise

D. None of the Mentioned

8. Best example of an Order-statistic filter is _________

A. Impulse filter

B. Averaging filter

C. Median filter

D. None of the Mentioned

9. What does “eliminated” refer to in the median filter?

A. Force to the average intensity of neighbors

B. Force to median intensity of neighbors

C. Eliminate median value of pixels

D. None of the Mentioned

10. Which of the following is best suited for salt-and-pepper noise elimination?

A. Average filter

B. Box filter

C. Max filter

D. Median filter