Explore topic-wise MCQs in Digital Image Processing.

This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Image Processing knowledge and support exam preparation. Choose a topic below to get started.

1.

The standard deviation ‘σ’ at any point in image averaging: σḡ(x, y) = 1/√K σɳ(x, y), where ḡ(x, y) is the average image formed by averaging K different noisy images and ɳ(x, y) is the noise added to an original image f(x, y). What is the relation between K and the variability of the pixel values at each location (x, y)?

A. Increase in K, decreases the noise of pixel values
B. Increase in K, increases the noise of pixel values
C. Decrease in K, decreases the noise of pixel values
D. Decrease in K, increases the noise of pixel values
Answer» B. Increase in K, increases the noise of pixel values
Discussion
2.

The subtracted image needs to be scaled, if 8-bit channel is used to display the subtracted images. So, the method of adding 255 to each pixel and then dividing by 2, has certain lim its. What is/are those lim its?

A. Very complex method
B. Very difficult to implement
C. The truncation inherent in division by 2 causes loss in accuracy
D. All of the mentioned
Answer» D. All of the mentioned
Discussion
3.

The standard deviation ‘σ’ at any point in image averaging: σḡ(x, y) = 1/√K σɳ(x, y), where ḡ(x, y) is the average image formed by averaging K different noisy images and ɳ(x, y) is the noise added to an original image f(x, y). What is the relation between K and the variability of the pixel values at each location (x, y)?#

A. Increase in K, decreases the noise of pixel values
B. Increase in K, increases the noise of pixel values
C. Decrease in K, decreases the noise of pixel values
D. Decrease in K, increases the noise of pixel values
Answer» B. Increase in K, increases the noise of pixel values
Discussion
4.

In Image Averaging enhancement method assumptions are made for a noisy image g(x, y). What is/are those?

A. The noise is correlated at every pair of coordinate (x, y)
B. The noise has average value 1 at every pair of coordinate (x, y)
C. All of the mentioned
D. None of the mentioned
Answer» E.
Discussion
5.

When can two random variables be uncorrelated?

A. Their covariance is 0
B. Their covariance is 1
C. Their covariance is -1
D. None of the mentioned
Answer» B. Their covariance is 1
Discussion
6.

Which of the following is/are the fundamental factors that need tight control for difference based inspection work?

A. Proper registration
B. Controlled illum <sub>i</sub>nation
C. Noise levels should be low enough so that the variation due to noise won’t affect the difference value much
D. All of the mentioned
Answer» E.
Discussion
7.

The subtracted image needs to be scaled, if 8-bit channel is used to display the subtracted images. So, the method of adding 255 to each pixel and then dividing by 2, has certain lim its. What is/are those lim its?

A. Very complex method
B. Very difficult to implement
C. The truncation inherent in division by 2 causes loss in accuracy
D. All of the mentioned
Answer» D. All of the mentioned
Discussion
8.

If the images are displayed using 8-bits, then, what is the range of the value of an image if the image is a result of subtraction operation?

A. 0 to 255
B. 0 to 511
C. -255 to 0
D. None of the mentioned
Answer» E.
Discussion
9.

The subtraction operation results in areas that appear as dark shades of gray. Why?

A. Because the difference in such areas is little, that yields low value
B. Because the difference in such areas is high, that yields low value
C. Because the difference in such areas is high, that yields high value
D. None of the mentioned
Answer» B. Because the difference in such areas is high, that yields low value
Discussion
10.

Which of the following is/are more commercially successful image enhancement method in mask mode radiography, an area under medical imaging?

A. Addition
B. Subtraction
C. Multiplication
D. Division
Answer» C. Multiplication
Discussion