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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 5 of 11

Explore more Topics under Digital Image Processing (DIP)

Q41.
The power-law transformation is given as: s = crᵞ, c and ᵞ are positive constants, and r is the gray-level of image before processing and s after processing. Then, for what value of c and ᵞ does power-law transformation becomes identity transformation?

a.

c = 1 and ᵞ < 1

b.

c = 1 and ᵞ > 1

c.

c = -1 and ᵞ = 0

d.

c = ᵞ = 1

Discuss
Answer: (d).c = ᵞ = 1
Q42.
Which of the following transformation is used cathode ray tube (CRT) devices?

a.

Log transformations

b.

Power-law transformations

c.

Negative transformations

d.

None of the mentioned

Discuss
Answer: (b).Power-law transformations
Q43.
Log transformation is generally used in which of the following device(s)?

a.

Cathode ray tube

b.

Scanners and printers

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Q44.
The power-law transformation is given as: s = crᵞ, c and ᵞ are positive constants, and r is the gray-level of image before processing and s after processing. What happens if we increase the gamma value from 0.3 to 0.7?

a.

The contrast increases and the detail increases

b.

The contrast decreases and the detail decreases

c.

The contrast increases and the detail decreases

d.

The contrast decreases and the detail increases

Discuss
Answer: (c).The contrast increases and the detail decreases
Q45.
If h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is a histogram in gray level range [0, L – 1]. Then how can we normalize a histogram?

a.

If each value of histogram is added by total number of pixels in image, say n, p(rk)=nk+n

b.

If each value of histogram is subtracted by total number of pixels in image, say n, p(rk)=nk-n

c.

If each value of histogram is multiplied by total number of pixels in image, say n, p(rk)=nk * n

d.

If each value of histogram is divided by total number of pixels in image, say n, p(rk)=nk / n

Discuss
Answer: (d).If each value of histogram is divided by total number of pixels in image, say n, p(rk)=nk / n
Q46.
What is the sum of all components of a normalized histogram?

a.

1

b.

-1

c.

0

d.

None of the mentioned

Discuss
Answer: (a).1
Q47.
A low contrast image will have what kind of histogram when, the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk?

a.

The histogram that are concentrated on the dark side of gray scale

b.

The histogram whose component are biased toward high side of gray scale

c.

The histogram that is narrow and centered toward the middle of gray scale

d.

The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform

Discuss
Answer: (c).The histogram that is narrow and centered toward the middle of gray scale
Q48.
A bright image will have what kind of histogram, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk?

a.

The histogram that are concentrated on the dark side of gray scale

b.

The histogram whose component are biased toward high side of gray scale

c.

The histogram that is narrow and centered toward the middle of gray scale

d.

The histogram that covers wide range of gray scale and the distribution of pixel is approximately uniform

Discuss
Answer: (b).The histogram whose component are biased toward high side of gray scale
Q49.
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is single valued in interval 0 ≤ r ≤ 1, what does it signifies?

a.

It guarantees the existence of inverse transformation

b.

It is needed to restrict producing of some inverted gray levels in output

c.

It guarantees that the output gray level and the input gray level will be in same range

d.

All of the mentioned

Discuss
Answer: (a).It guarantees the existence of inverse transformation
Q50.
The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is monotonically increasing in interval 0 ≤ r ≤ 1, what does it signifies?

a.

It guarantees the existence of inverse transformation

b.

It is needed to restrict producing of some inverted gray levels in output

c.

It guarantees that the output gray level and the input gray level will be in same range

d.

All of the mentioned

Discuss
Answer: (b).It is needed to restrict producing of some inverted gray levels in output
Page 5 of 11

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