Digital Image Processing Questions and Answers
Q1.
A mask of size 3*3 is formed using Laplacian including diagonal neighbors that has central coefficient as 9. Then, what would be the central coefficient of same mask if it is made without diagonal neighbors?
Answer :
5
Q2.
Which of the following mask(s) is/are used to sharpen images by subtracting a blurred version of original image from the original image itself?
Answer :
1. Unsharp mask
2. High-boost filter
Q3.
“For very large value of A, a high boost filtered image is approximately equal to the original image”. State whether the statement is true or false?
Answer :
True
Q4.
Subtracting Laplacian from an image is proportional to which of the following?
Answer :
Unsharp masking
Q5.
A First derivative in image processing is implemented using which of the following given operator(s)?
Answer :
Magnitude of Gradient vector
Q6.
What is the sum of the coefficient of the mask defined using gradient?
Answer :
0
Q7.
Gradient is used in which of the following area(s)?
Answer :
1. To aid humans in detection of defects
2. As a preprocessing step for automated inspections
Q8.
Gradient have some important features. Which of the following is/are some of them?
Answer :
1. Enhancing small discontinuities in an otherwise flat gray field
2. Enhancing prominent edges
Q9.
An image has significant edge details. Which of the following fact(s) is/are true for the gradient image and the Laplacian image of the same?
Answer :
The gradient image is brighter than the Laplacian image
Q10.
Computing the Fourier transform of the Laplacian result in spatial domain is equivalent to multiplying the F(u, v), Fourier transformed function of f(x, y) an input image, and H(u, v), the filter used for implementing Laplacian in frequency domain. This dual relationship is expressed as ____
Answer :
Fourier transform pair notation
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