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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 4 of 11

Explore more Topics under Digital Image Processing (DIP)

Q31.
Using gray-level transformation, the basic function linearity deals with which of the following transformation?

a.

log and inverse-log transformations

b.

negative and identity transformations

c.

nth and nth root transformations

d.

All of the mentioned

Discuss
Answer: (b).negative and identity transformations
Q32.
Using gray-level transformation, the basic function Logarithmic deals with which of the following transformation?

a.

Log and inverse-log transformations

b.

Negative and identity transformations

c.

nth and nth root transformations

d.

All of the mentioned

Discuss
Answer: (a).Log and inverse-log transformations
Q33.
Using gray-level transformation, the basic function power-law deals with which of the following transformation?

a.

log and inverse-log transformations

b.

negative and identity transformations

c.

nth and nth root transformations

d.

all of the mentioned

Discuss
Answer: (b).negative and identity transformations
Q34.
If r be the gray-level of image before processing and s after processing then which expression defines the negative transformation, for the gray-level in the range [0, L-1]?

a.

s = L โ€“ 1 โ€“ r

b.

s = crแตž, c and แตž are positive constants

c.

s = c log (1 + r), c is a constant and r โ‰ฅ 0

d.

none of the mentioned

Discuss
Answer: (a).s = L โ€“ 1 โ€“ r
Q35.
If r be the gray-level of image before processing and s after processing then which expression helps to obtain the negative of an image for the gray-level in the range [0, L-1]?

a.

s = L โ€“ 1 โ€“ r

b.

s = crแตž, c and แตž are positive constants

c.

s = c log (1 + r), c is a constant and r โ‰ฅ 0

d.

none of the mentioned

Discuss
Answer: (c).s = c log (1 + r), c is a constant and r โ‰ฅ 0
Q36.
If r be the gray-level of image before processing and s after processing then which expression defines the power-law transformation, for the gray-level in the range [0, L-1]?

a.

s = L โ€“ 1 โ€“ r

b.

s = crแตž, c and แตž are positive constants

c.

s = c log (1 + r), c is a constant and r โ‰ฅ 0

d.

none of the mentioned

Discuss
Answer: (b).s = crแตž, c and แตž are positive constants
Q37.
Which of the following transformations is particularly well suited for enhancing an image with white and gray detail embedded in dark regions of the image, especially when there is more black area in the image.

a.

Log transformations

b.

Power-law transformations

c.

Negative transformations

d.

None of the mentioned

Discuss
Answer: (c).Negative transformations
Q38.
Which of the following transformations expands the value of dark pixels while the higher-level values are being compressed?

a.

Log transformations

b.

Inverse-log transformations

c.

Negative transformations

d.

None of the mentioned

Discuss
Answer: (a).Log transformations
Q39.
Although power-law transformations are considered more versatile than log transformations for compressing of gray-levels in an image, then, how is log transformations advantageous over power-law transformations?

a.

The log transformation compresses the dynamic range of images

b.

The log transformations reverses the intensity levels in the images

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (a).The log transformation compresses the dynamic range of images
Q40.
A typical Fourier Spectrum with spectrum value ranging from 0 to 106, which of the following transformation is better to apply.

a.

Log transformations

b.

Power-law transformations

c.

Negative transformations

d.

None of the mentioned

Discuss
Answer: (a).Log transformations
Page 4 of 11

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