Digital Image Processing Questions and Answers
Q1.
Image Shrinking has an undesirable feature, that is ______
Answer :
Aliasing effect
Q2.
Two pixels p and q having gray values from V, the set of gray-level values used to define adjacency, are m-adjacent if:
Answer :
Any of the mentioned
Q3.
What is the technique for a gray-level transformation function called, if the transformation would be to produce an image of higher contrast than the original by darkening the levels below some gray-level m and brightening the levels above m in the original image.
Answer :
Contrast stretching
Q4.
If r be the gray-level of image before processing and s after processing then which expression defines the negative transformation, for the gray-level in the range [0, L-1]?
Answer :
s = L โ 1 โ r
Q5.
Although power-law transformations are considered more versatile than log transformations for compressing of gray-levels in an image, then, how is log transformations advantageous over power-law transformations?
Answer :
The log transformation compresses the dynamic range of images
Q6.
The power-law transformation is given as: s = crแต, c and แต 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?
Answer :
The contrast increases and the detail decreases
Q7.
What is the full form for PDF, a fundamental descriptor of random variables i.e. gray values in an image?
Answer :
Probability density function
Q8. In Histogram Matching r and z are gray level of input and output image and p stands for PDF, then, what does pz(z) stands for?
Answer :
Specified probability density function
Q9.
What is standard deviation value for constant area?
Answer :
0
Q10.
What is the equivalent for a black, 8-bit pixel to be processed under logic operation on gray scale image?
Answer :
A string: 00000000
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