Digital Image Processing Set 3

Master of Science in Computer Science (MSc CS)

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This set of Digital Image Processing (DIP) Multiple Choice Questions & Answers (MCQs) focuses on Digital Image Processing Set 3

Q1 | How is negative of an image obtained with intensity levels [0,L-1] with “r” and “s” being pixel values?
  • s = l – 1 + r
  • s = l – 1 – r
  • s = l + 1 + r
  • s = l + 1 + r
Answer: s = l – 1 – r
Explaination:
the negative is obtained using s = l – 1 + r.
Q2 | The general form of log transformations is ____________________.
  • s = c.log(1 + r)
  • s = c+log(1 + r)
  • s = c.log(1 – r)
  • s = c-log(1 – r)
Answer: s = c.log(1 + r)
Explaination:
s = c.log(1 + r) is the log transformation.
Q3 | Power-law transformations has the basic form of ________________, where c and ? are constants.
  • s = c + r?
  • s = c – r?
  • s = c * r?
  • s = c / r.?
Answer: s = c * r?
Explaination:
s = c * r? is called the power-law transformation.
Q4 | For what value of the output must the Power-law transformation account for offset?
  • no offset needed
  • all values
  • one
  • zero
Answer: zero
Explaination:
when the output is zero, an offset is necessary.
Q5 | What is Gamma Correction?
  • a power-law response phenomenon
  • inverted intensity curve
  • light brightness variation
  • none of the mentioned
Answer: a power-law response phenomenon
Explaination:
the exponent in power-law is called gamma and the process used to correct the response of power-law transformation is called gamma correction.
Q6 | Which process expands the range of intensity levels in an image so that it spans the full intensity range of the display?
  • shading correction
  • contrast sketching
  • gamma correction
  • none of the mentioned
Answer: contrast sketching
Explaination:
contrast sketching is the process used to expand intensity levels in an image.
Q7 | Highlighting a specific range of intensities of an image is called ___________.
  • intensity matching
  • intensity highlighting
  • intensity slicing
  • none of the mentioned
Answer: intensity slicing
Explaination:
highlighting a specific range of intensities of an image is called intensity slicing.
Q8 | Highlighting the contribution made to total image by specific bits instead of highlighting intensity-level changes is called ____________________.
  • intensity highlighting
  • byte-slicing
  • bit-plane slicing
  • none of the mentioned
Answer: bit-plane slicing
Explaination:
it is called bit-plane slicing.
Q9 | Which of the following involves reversing the intensity levels of an image?
  • log transformations
  • piecewise linear transformations
  • image negatives
  • none of the mentioned.
Answer: image negatives
Explaination:
image negatives use reversing intensity levels.
Q10 | Piecewise Linear Transformation function involves which of the following?
  • bit-plane slicing
  • intensity level slicing
  • contrast stretching
  • all of the mentioned
Answer: all of the mentioned
Explaination:
piecewise linear transformation function involves all the mentioned functions
Q11 | What is the basis for numerous spatial domain processing techniques?
  • transformations
  • scaling
  • histogram
  • none of the mentioned
Answer: histogram
Explaination:
histogram is the basis for numerous spatial domain processing techniques.
Q12 | In _______ image we notice that the components of histogram are concentrated on the low side on intensity scale.
  • bright
  • dark
  • colourful
  • all of the mentioned
Answer: dark
Explaination:
only in dark images, we notice that the components of histogram are concentrated on the low side on intensity scale.
Q13 | What is Histogram Equalisation also called as?
  • histogram matching
  • image enhancement
  • histogram linearisation
  • none of the mentioned
Answer: histogram linearisation
Explaination:
histogram linearisation is also known as histogram equalisation.
Q14 | What is Histogram Matching also called as?
  • histogram equalisation
  • histogram specification
  • histogram linearisation
  • none of the mentioned
Answer: histogram specification
Explaination:
histogram specification is also known as histogram matching.
Q15 | Histogram Equalisation is mainly used for _________________________.
  • image enhancement
  • blurring
  • contrast adjustment
  • none of the mentioned
Answer: image enhancement
Explaination:
it is mainly used for enhancement of usually dark images.
Q16 | To reduce computation if one utilises non-overlapping regions, it usually produces ______ effect.
  • dimming
  • blurred
  • blocky
  • none of the mentioned
Answer: blocky
Explaination:
utilising non-overlapping regions usually produces “blocky” effect.
Q17 | What does SEM stands for?
  • scanning electronic machine
  • self electronic machine
  • scanning electron microscope
  • scanning electric machine
Answer: scanning electron microscope
Explaination:
sem stands for scanning electron microscope.
Q18 | The type of Histogram Processing in which pixels are modified based on the intensity distribution of the image is called _______________.
  • intensive
  • local
  • global
  • random
Answer: global
Explaination:
it is called global histogram processing.
Q19 | Which type of Histogram Processing is suited for minute detailed enhancements?
  • intensive
  • local
  • global
  • random
Answer: local
Explaination:
local histogram processing is used.
Q20 | In uniform PDF, the expansion of PDF is ____________________________.
  • portable document format
  • post derivation function
  • previously derived function
  • probability density function
Answer: probability density function
Explaination:
pdf stands for probability density function.
Q21 | What is accepting or rejecting certain frequency components called as?
  • filtering
  • eliminating
  • slicing
  • none of the mentioned
Answer: filtering
Explaination:
filtering is the process of accepting or rejecting certain frequency components.
Q22 | A filter that passes low frequencies is ____________________.
  • band pass filter
  • high pass filter
  • low pass filter
  • none of the mentioned
Answer: low pass filter
Explaination:
low pass filter passes low frequencies.
Q23 | What is the process of moving a filter mask over the image and computing the sum of products at each location called as?
  • convolution
  • correlation
  • linear spatial filtering
  • non linear spatial filtering
Answer: correlation
Explaination:
the process is called as correlation.
Q24 | The standard deviation controls “____________” of the bell (2-D Gaussian function of bell shape).
  • size
  • curve
  • tightness
  • none of the mentioned
Answer: tightness
Explaination:
the standard deviation controls “tightness” of the bell.
Q25 | What is required to generate an M X N linear spatial filter?
  • mn mask coefficients
  • m+n coordinates
  • mn spatial coefficients
  • none of the mentioned
Answer: mn mask coefficients
Explaination:
to generate an m x n linear spatial filter mn mask coefficients must be specified.
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