Histogram Specification and Use of Histogram Statistics for Image Enhancement MCQ
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For a local enhancement using mean and variance, what happens if the lowest value of contrast is not restricted as per the willingness of acceptance of value?
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What is standard deviation value for constant area?
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For a local enhancement using mean and variance, there is one condition: σs(x, y) ≤ k2DG, where, MDG is global standard deviation, k2 a positive constant and σs(x, y) a measure of contrast at point (x, y). Then, which fact is true for k2 if its values is greater than 1.0?
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For a local enhancement using mean and variance, there is one condition: σs(x, y) ≤ k2DG, where, MDG is global standard deviation, k2 a positive constant and σs(x, y) a measure of contrast at point (x, y). Then, which fact is true for k2 if its values is less than 1.0?
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For a local enhancement using mean and variance, there is one condition: ms(x, y) ≤ k0 MG, where, MG is global mean, k0 a constant and ms(x, y) a measure of gray value as light or dark at point (x, y). Then, which fact is true for k0?
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In terms of enhancement, what does mean and variance refers to?
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Let us suppose an image containing a quite small square under a large dark square with both having very close gray level values. If an image contains some of this such that the small squares can’t be visualized and some noise blurred enough to reduce its noise content as shown in fig. below, Which of the following method would be preferred for obtaining the small square clear enough? Figure: original image.
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What happens to the output image when global Histogram equalization method is applied on smooth and noisy area of an image?
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Which of the following histogram processing techniques is global?
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In Histogram Matching or Specification, z = G-1, r and z are gray level of input and output image and T & G are transformations, to confirm the single value and monotonous of G-1 what of the following is/are required?
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Inverse transformation plays an important role in which of the following Histogram processing Techniques?
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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?
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The technique of Enhancement that has a specified Histogram processed image as result, is called?