DIGITAL IMAGE PROCESSING
MULTI CHOICE QUESTIONS
IMAGE ENHANCEMENT
1. Histogram is technique processed in
intensity domain
frequency domain
spatial domain
undefined domain
C
2. Sum of all components in normalized histogram is equal to
100
2
0
1
D
3. Pixel to pixel movement of center and to define neighborhood is
local histogram processing
equalized histogram processing
normalized histogram processing
global histogram processing
A
4. Local histogram processing deals with
whole image
slices of image
center of image
edges of image
B
5. Digital image with intensity levels in range [0,L-1] is called
k-map
histogram
truth table
graph
B
6. Method generating a processed image having specified histogram is called
histogram enhancement
histogram normalization
histogram equalization
histogram matching
D
7. In expression s = Tr, Tr, in range 0 = < r = < L-1 is the
strictly monotonically increasing function
monotonically increasing function
monotonically decreasing function
strictly monotonically decreasing function
A
8. PDF in histogram equalization stands for
probability dual function
partial density function
parametric density function
probability density function
D
9. Strictly monotonical function guarantee inverse mapping as
dual valued
single valued
multi valued
running sum
B
10. Probability density functions are always
decreasing
increasing
positive
negative
C
11. Image can be blurred using
low pass filter
contouring
erosion
high pass filter
A
12. Image can be sharpened using
low pass filter
contouring
erosion
high pass filter
D
13. High pass filters promotes
low intensity components
mid intensity components
high intensity components
all components
C
14. Low pass filters promotes
low intensity components
mid intensity components
high intensity components
all components
A
15. Smoothing filters are mostly used in
blurring
noise reduction
contrast
Both A and B
D
16. 1024 x 1024 image has resolution of
1048576
1148576
1248576
1348576
A
17. In MxN, M is no of
intensity levels
colors
rows
columns
C
18. Type of zooms are
8
6
4
2
D
19. DPI stands for
dots per image
dots per inches
dots per intensity
diameter per inches
B
20. In MxN, N is no of
intensity levels
colors
rows
columns
D
21. Process involved in linear spatial filtering is
correlation
convolution
histogram equalization
Both A and B
D
22. Fourier transform of unit impulse at origin is
undefined
infinity
1
0
C
23. Sum of cosines and sines coefficient multiplied is
Fourier series
Fourier transform
fast Fourier series
fast Fourier transform
A
24. Fourier transform's domain is
frequency domain
spatial domain
Fourier domain
time domain
A
25. Impulse has property called
rotating property
shifting property
additive property
additive inverse
B
26. A complex number is defined as
c = jI
c = R+jI
c = R
c = R+I
B
27. Name that does not relates to spatial filters
spatial masks
kernels
templates
B
28. Spatial filtering method uses
low pass filter
high pass filter
bandpass filter
spatial filter
D
29. Principle tools used in image processing for a broad spectrum of applications
low pass filtering
intensity filtering
spatial filtering
high pass filtering
C
30. Log transformation is given by formula
s = clog(r)
s = clog(1+r)
s = clog(2+r)
s = log(1+r)
B
31. In formula s = clog(1+r), r ranges
r >= 0
r >= 1
0 >= r
1 >= r
A
32. Giving one period of periodic convolution is called
periodic convolution
aperiodic convolution
correlation
circular convolution
D
33. Forward and inverse Fourier transforms exist for samples having values
integers
infinite
finite
discrete
C
34. Band limited function can be recovered from its samples if acquired samples are at rate twice highest frequency, this theorem is called
sampling theorem
sampling theorem
sampling theorem
sampling theorem
A
35. Any function whose Fourier transform is zero for frequencies outside finite interval is called
high pass function
low pass function
band limited function
band pass function
C
36. Sampled frequency less than nyquist rate is called
under sampling
over sampling
critical sampling
nyquist sampling
A
37. Effect caused by under sampling is called
smoothing
sharpening
summation
aliasing
D
38. Product of two functions in spatial domain is what, in frequency domain
correlation
convolution
Fourier transform
fast Fourier transform
B
39. The principle energy source for images
electrical spectrum
magnetic spectrum
electro spectrum
electro magnetic spectrum
D
40. The most energetic rays of EM energy spectrum
gamma rays
x-rays
ultraviolet rays
visible rays
A
Tag der Veröffentlichung: 24.06.2016
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tHIS BOOK IS DEDICATED TO MY GURU, MY COLLEGE AND MY LITTLE DEAR LAKSHITH NIRANJAN AND MY HUSBAND NAGARAJAN FOR THEIR SUPPORT.