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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 11 of 11

Explore more Topics under Digital Image Processing (DIP)

Q101.
Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size, then what does the given operation is/are supposed to do?

a.

Resize the transform

b.

Rotate the transform

c.

Shifts the center transform

d.

All of the mentioned

Discuss
Answer: (c).Shifts the center transform
Q102.
Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size M*N, where does the point (u, v) =(0,0) shifts?

a.

(M -1, N -1)

b.

(M/2, N/2)

c.

(M+1, N+1)

d.

(0, 0)

Discuss
Answer: (b).(M/2, N/2)
Q103.
Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size M*N, then which of the following is an expression for H(u, v), the filter used for implementing Laplacian in frequency domain?

a.

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

b.

H(u, v)= -(u^2– v^2)

c.

H(u, v)= -[(u – M/2)^2+ (v – N/2)^2].

d.

H(u, v)= -[(u – M/2)^2– (v – N/2)^2].

Discuss
Answer: (c).H(u, v)= -[(u – M/2)^2+ (v – N/2)^2].
Q104.
Computing the Fourier transform of the Laplacian result in spatial domain is equivalent to multiplying the F(u, v), Fourier transformed function of f(x, y) an input image, and H(u, v), the filter used for implementing Laplacian in frequency domain. This dual relationship is expressed as _________

a.

Fourier transform pair notation

b.

Laplacian

c.

Gradient

d.

None of the mentioned

Discuss
Answer: (a).Fourier transform pair notation
Q105.
An enhanced image can be obtained as: g(x,y)=f(x,y)-∇^2 f(x,y), where Laplacian is being subtracted from f(x, y) the input image. What does this conclude?

a.

That the center spike would be negative

b.

That the immediate neighbors of center spike would be positive.

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (c).All of the mentioned
Q106.
Why is scaling of Laplacian filtered images necessary?

a.

Because it contain high positive values

b.

Because it contain high negative value

c.

Because it contain both positive and negative values

d.

None of the mentioned

Discuss
Answer: (c).Because it contain both positive and negative values
Q107.
Which of the following fact is true for the masks that includes diagonal neighbors than the masks that doesn’t?

a.

Mask that excludes diagonal neighbors has more sharpness than the masks that doesn’t

b.

Mask that includes diagonal neighbors has more sharpness than the masks that doesn’t

c.

Both masks have same sharpness result

d.

None of the mentioned

Discuss
Answer: (b).Mask that includes diagonal neighbors has more sharpness than the masks that doesn’t
Page 11 of 11

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