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Welcome to the Image Enhancement MCQs Page

Dive deep into the fascinating world of Image Enhancement with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Image Enhancement, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Image Enhancement, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Digital Image Processing (DIP).

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Check out the MCQs below to embark on an enriching journey through Image Enhancement. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Digital Image Processing (DIP).

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Image Enhancement. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Image Enhancement MCQs | Page 9 of 11

Q81.
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)?
Discuss
Answer: (a).Increase in K, decreases the noise of pixel values
Q82.
A filter is applied to an image whose response is independent of the direction of discontinuities in the image. The filter is/are ________
Discuss
Answer: (a).Isotropic filters
Q83.
In isotropic filtering, which of the following is/are the simplest isotropic derivative operator?
Discuss
Answer: (a).Laplacian
Q84.
The Laplacian is which of the following operator?
Discuss
Answer: (c).Linear operator
Q85.
The Laplacian ∇^2 f=[f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 4f(x, y)], gives an isotropic result for rotations in increment by what degree?
Discuss
Answer: (a).90 degree
Q86.
The Laplacian incorporated with diagonal directions, i.e. ∇^2 f=[f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 8f(x, y)], gives an isotropic result for rotations in increment by what degree?
Discuss
Answer: (a).90 degree
Discuss
Answer: (c).All of the mentioned
Q88.
Applying Laplacian produces image having featureless background which is recovered maintaining the sharpness of Laplacian operation by either adding or subtracting it from the original image depending upon the Laplacian definition used. Which of the following is true based on above statement?
Discuss
Answer: (a).If definition used has a negative center coefficient, then subtraction is done
Q89.
A mask of size 3*3 is formed using Laplacian including diagonal neighbors that has central coefficient as 9. Then, what would be the central coefficient of same mask if it is made without diagonal neighbors?
Discuss
Answer: (a).5
Q90.
Which of the following mask(s) is/are used to sharpen images by subtracting a blurred version of original image from the original image itself?
Discuss
Answer: (c).All of the mentioned

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