Digital Image Processing Questions and Answers – Image Sampling and Quantization

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Image Sampling and Quantization”.

1. A continuous image is digitised at _______ points.
a) random
b) vertex
c) contour
d) sampling
View Answer

Answer: d
Explanation: The sampling points are ordered in the plane and their relation is called a Grid.

2. The transition between continuous values of the image function and its digital equivalent is called ______________
a) Quantisation
b) Sampling
c) Rasterisation
d) None of the Mentioned
View Answer

Answer: a
Explanation: The transition between continuous values of the image function and its digital equivalent is called Quantisation.

3. Images quantised with insufficient brightness levels will lead to the occurrence of ____________
a) Pixillation
b) Blurring
c) False Contours
d) None of the Mentioned
View Answer

Answer: c
Explanation: This effect arises when the number brightness levels is lower that which the human eye can distinguish.
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4. The smallest discernible change in intensity level is called ____________
a) Intensity Resolution
b) Contour
c) Saturation
d) Contrast
View Answer

Answer: a
Explanation: Number of bits used to quantise intensity of an image is called intensity resolution.

5. What is the tool used in tasks such as zooming, shrinking, rotating, etc.?
a) Sampling
b) Interpolation
c) Filters
d) None of the Mentioned
View Answer

Answer: b
Explanation: Interpolation is the basic tool used for zooming, shrinking, rotating, etc.
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6. The type of Interpolation where for each new location the intensity of the immediate pixel is assigned is ___________
a) bicubic interpolation
b) cubic interpolation
c) bilinear interpolation
d) nearest neighbour interpolation
View Answer

Answer: d
Explanation: Its called as Nearest Neighbour Interpolation since for each new location the intensity of the next neighbouring pixel is assigned.

7. The type of Interpolation where the intensity of the FOUR neighbouring pixels is used to obtain intensity a new location is called ___________
a) cubic interpolation
b) nearest neighbour interpolation
c) bilinear interpolation
d) bicubic interpolation
View Answer

Answer: b
Explanation: Bilinear interpolation is where the FOUR neighbouring pixels is used to estimate intensity for a new location.
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8. Dynamic range of imaging system is a ratio where the upper limit is determined by
a) Saturation
b) Noise
c) Brightness
d) Contrast
View Answer

Answer: a
Explanation: Saturation is taken as the Numerator.

9. For Dynamic range ratio the lower limit is determined by
a) Saturation
b) Brightness
c) Noise
d) Contrast
View Answer

Answer: c
Explanation: Noise is taken as the Denominator.
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10. Quantitatively, spatial resolution cannot be represented in which of the following ways
a) line pairs
b) pixels
c) dots
d) none of the Mentioned
View Answer

Answer: d
Explanation: All the options can be used to represent spatial resolution.

Sanfoundry Global Education & Learning Series – Digital Image Processing.

To practice all areas of Digital Image Processing, here is complete set of 1000+ Multiple Choice Questions and Answers.

If you find a mistake in question / option / answer, kindly take a screenshot and email to [email protected]

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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