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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 10 of 11

Explore more Topics under Digital Image Processing (DIP)

Q91.
Which of the following gives an expression for high boost filtered image fhb, if f represents an image, f blurred version of f, fs unsharp mask filtered image and A ≥ 1?

a.

fhb = (A – 1) f(x, y) + f(x, y) – f x, y)

b.

fhb = A f(x, y) – f(x,y)

c.

fhb = (A – 1) f(x, y) + fs(x, y)

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q92.
If we use a Laplacian to obtain sharp image for unsharp mask filtered image fs(x, y) of f(x, y) as input image, and if the center coefficient of the Laplacian mask is negative then, which of the following expression gives the high boost filtered image fhb, if ∇^2 f represent Laplacian?

a.

fhb = A f(x, y) – ∇^2 f(x,y)

b.

fhb = A f(x, y) + ∇^2 f(x,y)

c.

fhb = ∇^2 f(x,y)

d.

None of the mentioned

Discuss
Answer: (a).fhb = A f(x, y) – ∇^2 f(x,y)
Q93.
“For very large value of A, a high boost filtered image is approximately equal to the original image”. State whether the statement is true or false?

a.

True

b.

False

c.

May be

d.

Can't Say

Discuss
Answer: (a).True
Q94.
Subtracting Laplacian from an image is proportional to which of the following?

a.

Unsharp masking

b.

Box filter

c.

Median filter

d.

None of the mentioned

Discuss
Answer: (a).Unsharp masking
Q95.
A First derivative in image processing is implemented using which of the following given operator(s)?

a.

Magnitude of Gradient vector

b.

The Laplacian

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (a).Magnitude of Gradient vector
Q96.
What is the sum of the coefficient of the mask defined using gradient?

a.

1

b.

-1

c.

0

d.

None of the mentioned

Discuss
Answer: (c).0
Q97.
Gradient is used in which of the following area(s)?

a.

To aid humans in detection of defects

b.

As a preprocessing step for automated inspections

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (c).All of the mentioned
Q98.
Gradient have some important features. Which of the following is/are some of them?

a.

Enhancing small discontinuities in an otherwise flat gray field

b.

Enhancing prominent edges

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (c).All of the mentioned
Q99.
An image has significant edge details. Which of the following fact(s) is/are true for the gradient image and the Laplacian image of the same?

a.

The gradient image is brighter than the Laplacian image

b.

The gradient image is brighter than the Laplacian image

c.

Both the gradient image and the Laplacian image has equal values

d.

None of the mentioned

Discuss
Answer: (b).The gradient image is brighter than the Laplacian image
Q100.
The Laplacian in frequency domain is simply implemented by using filter __________

a.

H(u, v)= -(u^2– v^2)

b.

H(u, v)= -(1)

c.

H(u, v)= -(u^2+ v^2)

d.

none of the mentioned

Discuss
Answer: (c).H(u, v)= -(u^2+ v^2)
Page 10 of 11

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