# Digital Image Processing Questions and Answers – Sharpening Spatial Filters – 3

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This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Sharpening Spatial Filters – 3”.

1. The principle objective of Sharpening, to highlight transitions is ________
a) Pixel density
b) Composure
c) Intensity
d) Brightness
View Answer

Answer: c
Explanation: The principle objective of Sharpening, to highlight transitions is Intensity.

2. How can Sharpening be achieved?
a) Pixel averaging
b) Slicing
c) Correlation
d) None of the mentioned
View Answer

Answer: d
Explanation: Sharpening is achieved using Spatial Differentiation.

3. What does Image Differentiation enhance?
a) Edges
b) Pixel Density
c) Contours
d) None of the mentioned
View Answer

Answer: a
Explanation: Image Differentiation enhances Edges and other discontinuities.
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4. What does Image Differentiation de-emphasize?
a) Pixel Density
b) Contours
c) Areas with slowly varying intensities
d) None of the mentioned
View Answer

Answer: c
Explanation: Image Differentiation de-emphasizes areas with slowly varying intensities.

5. The requirements of the First Derivative of a digital function:
a) Must be zero in areas of constant intensity
b) Must be non-zero at the onset of an intensity step
c) Must be non-zero along ramps
d) All of the Mentioned
View Answer

Answer: d
Explanation: All the three conditions must be satisfied.

6. What is the Second Derivative of Image Sharpening called?
a) Gaussian
b) Laplacian
c) Canny
d) None of the mentioned
View Answer

Answer: b
Explanation: It is also called Laplacian.

7. The ability that rotating the image and applying the filter gives the same result, as applying the filter to the image first, and then rotating it, is called _____________
a) Isotropic filtering
b) Laplacian
c) Rotation Invariant
d) None of the mentioned
View Answer

Answer: c
Explanation: It is called Rotation Invariant, although the process used is Isotropic filtering.
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8. For a function f(x,y), the gradient of ‘f’ at coordinates (x,y) is defined as a ___________
a) 3-D row vector
b) 3-D column vector
c) 2-D row vector
d) 2-D column vector
View Answer

Answer: d
Explanation: The gradient is a 2-D column vector.

9. Where do you find frequent use of Gradient?
a) Industrial inspection
b) MRI Imaging
c) PET Scan
d) None of the mentioned
View Answer

Answer: a
Explanation: Gradient is used in Industrial inspection, to aid humans, in detection of defects.
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10. Which of the following occurs in Unsharp Masking?
a) Blurring original image
b) Adding a mask to original image
c) Subtracting blurred image from original
d) All of the mentioned
View Answer

Answer: d
Explanation: In Unsharp Masking, all of the above occurs in the order: Blurring, Subtracting the blurred image and then Adding the mask.

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.

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