121. 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

122. 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. Both 1 and 2

D. None of the mentioned

123. 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

124. 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. Both 1 and 2

D. None of the mentioned

125. 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

126. 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

127. 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

128. In neighborhood operations working is being done with the value of the image pixel in the neighborhood and the corresponding value of a sub-image that has the same dimension as the neighborhood. The sub-image is referred as _________

A. Filter

B. Mask

C. Template

D. All of the mentioned

129. The response for linear spatial filtering is given by the relationship __________

A. Sum of filter coefficient’s product and corresponding image pixel under filter mask

B. Difference of filter coefficient’s product and corresponding image pixel under filter mask

C. Product of filter coefficient’s product and corresponding image pixel under filter mask

D. None of the mentioned

130. In linear spatial filtering, what is the pixel of the image under the mask corresponding to the mask coefficient w (1, -1), assuming a 3*3 mask?

A. f (x, -y)

B. f (x + 1, y)

C. f (x, y – 1)

D. f (x + 1, y – 1)

131. Which of the following is/are a nonlinear operation?

A. Computation of variance

B. Computation of median

C. Both 1 and 2

D. None of the mentioned

132. Which of the following is/are used as a basic function in a nonlinear filter for noise reduction?

A. Computation of variance

B. Computation of median

C. All of the mentioned

D. None of the mentioned

133. In neighborhood operation for spatial filtering if a square mask of size n*n is used it is restricted that the center of the mask must be at a distance ≥ (n – 1)/2 pixels from the border of the image, what happens to the resultant image?

A. The resultant image will be of the same size as the original image

B. The resultant image will be a little larger size than the original image

C. The resultant image will be a little smaller size than the original image

D. None of the mentioned

134. Which of the following method is/are used for padding the image?

A. Adding rows and columns of 0 or other constant gray levels

B. Simply replicating the rows or columns

C. Both 1 and 2

D. None of the mentioned

135. In neighborhood operation for spatial filtering using a square mask of n*n, which of the following approach is/are used to obtain a perfectly filtered result irrespective of the size?

A. By padding the image

B. By filtering all the pixels only with the mask section that is fully contained in the image

C. By ensuring that the center of the mask must be at a distance ≥ (n – 1)/2 pixels from the border of the image

D. None of the mentioned

136. 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. Both 1 and 2

D. None of the mentioned

137. 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

138. 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

139. 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

140. 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