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Histogram Equalization Quiz

Authored by Umesh Kamerikar

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University

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Histogram Equalization Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of transformation function is used in histogram equalization?

A) Linear

B) Exponential

C) Logarithmic

D) Sigmoid

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a limitation of histogram equalization?

A) It may amplify noise in the image

B) It can only be applied to black and white images

C) It requires complex mathematical calculations

D) It reduces the file size of the image

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using histogram equalization for image enhancement?

A) It is a simple and fast process

B) It works well for all types of images

C) It does not alter the original image

D) It can improve the visibility of details in an image

4.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

What is histogram equalization?

A) A technique used to adjust the brightness of an image

B) A method to enhance the contrast of an image

C) A process to resize an image

D) A way to rotate an image

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes the purpose of histogram equalization?

A) To make an image brighter

B) To make an image sharper

C) To improve the contrast of an image

D) To add noise to an image

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When applying histogram equalization, what happens to the intensity levels of the image?

A) They are randomly shuffled

B) They are redistributed to cover the entire range

C) They are compressed towards the middle

D) They are inverted

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In histogram equalization, what does the cumulative distribution function (CDF) represent?

A) The original histogram of the image

B) The probability density function of the image

C) The transformation function for equalization

D) The brightness levels of the image

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