Digital Image Processing Mid - I, September - 2014
1.The principal application areas of digital image processing is
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Human Interpretations
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Autonomous machine perception
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both A and B
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none
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Answer: C
2.The purpose of Image compression is
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to reduce Image data for storage and transmission
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to increase the Image data for storage and transmission
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to improve the quality of the image
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None
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Answer: A
3.The Power Spectrum of the Image is ________
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-
-
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none
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Answer: A
4.The 1-D Forward Hardmard kernel is
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-
-
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none
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Answer: A
5.In Image enhancement, the Power-law transformation can be given as
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S = C log(1+r)
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k = P+q-1
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S = Cr
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none
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Answer: A
6.The output of butter worth high pass filter is
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Blurred Image
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Original Image
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sharpen image
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none
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Answer: C
7.In an Image, highlighting a specific range of gray levels is called as
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Bit plane slicing
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gray level Slicing
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Image negatives
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none
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Answer: B
8.In which filter the illumination and reflectance components are used for image enhancement
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Bit plane slicing
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LowPass filtering
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high pass filtering
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homomorphic filtering
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Answer: D
9.In Image restoration, the wiener filter restores original image by minimizing ____
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mean square error
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double square error
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difference error
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none
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Answer: A
10.Approach produces successive improvements to the restoration process until a final condition is reached
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inverse filtering
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wiener filtering
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iterative approach
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none
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Answer: C
11.The Amplitude of f(x, y) is called as ______________.
Answer: Gray level or intensity
12.The mixed connectivity is modification of _____________connectivity.
Answer: 8 connectivity
13.The phase angle (u, v) of the Image is _________________
Answer:
14.In Walsh transform, the signal is represented by a set of orthogonal ______________waveforms.
Answer: Square waves
15.The output of homomorphic filtering improves ____________________
Answer: Contrast
16.The output of butter worth low pass filter___________________
Answer: Blurred image or smooth image
17.The point processing is used for image enhancement in ________________domain
Answer: Spatial domain
18.The average filtering of k images used for __________________
Answer: Noise reduction
19.___________________ uses prior knowledge to recover the original image.
Answer: Image restoration
20.The Gaussian noise model is resulted in an image due to ______________________
Answer: Poor illumination