Q. What is the sum of all components of a normalized histogram?

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Q. A low contrast image will have what kind of histogram when, the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk?

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Q. A bright image will have what kind of histogram, when the histogram, h(rk) = nk, rk the kth gray level and nk total pixels with gray level rk, is plotted nk versus rk?

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Q. The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is single valued in interval 0 ≤ r ≤ 1, what does it signifies?

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Q. The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is monotonically increasing in interval 0 ≤ r ≤ 1, what does it signifies?

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Q. The transformation s = T(r) producing a gray level s for each pixel value r of input image. Then, if the T(r) is satisfying 0 ≤ T(r) ≤ 1 in interval 0 ≤ r ≤ 1, what does it signifies?

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Q. What is the full form for PDF, a fundamental descriptor of random variables i.e. gray values in an image?

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Q. What is the full form of CDF?

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Q. For the transformation T(r) = [∫0^r pr(w) dw], r is gray value of input image, pr(r) is PDF of random variable r and w is a dummy variable. If, the PDF are always positive and that the function under integral gives the area under the function, the transformation is said to be __________

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Q. The transformation T (rk) = ∑k(j=0) nj /n, k = 0, 1, 2, …, L-1, where L is max gray value possible and r-k is the kth gray level, is called _______

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Q. If the histogram of same images, with different contrast, are different, then what is the relation between the histogram equalized images?

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Q. The technique of Enhancement that has a specified Histogram processed image as result, is called?

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Q. 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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Q. Inverse transformation plays an important role in which of the following Histogram processing Techniques?

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Q. In Histogram Matching or Specification, z = G^-1[T(r)], 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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Q. Which of the following histogram processing techniques is global?

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Q. 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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Q. In terms of enhancement, what does mean and variance refers to?

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Q. What is standard deviation value for constant area?

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Q. 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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