Q. Which of the following is/are more commercially successful image enhancement method in mask mode radiography, an area under medical imaging?

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Q. The subtraction operation results in areas that appear as dark shades of gray. Why?

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Q. If the images are displayed using 8-bits, then, what is the range of the value of an image if the image is a result of subtraction operation?

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Q. The subtracted image needs to be scaled, if 8-bit channel is used to display the subtracted images. So, the method of adding 255 to each pixel and then dividing by 2, has certain limits. What is/are those limits?

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Q. Which of the following is/are the fundamental factors that need tight control for difference based inspection work?

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Q. When can two random variables be uncorrelated?

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Q. In Image Averaging enhancement method assumptions are made for a noisy image g(x, y). What is/are those?

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Q. The standard deviation ‘σ’ at any point in image averaging: σḡ(x, y) = 1/√K σɳ(x, y), where ḡ(x, y) is the average image formed by averaging K different noisy images and ɳ(x, y) is the noise added to an original image f(x, y). What is the relation between K and the variability of the pixel values at each location (x, y)?

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Q. A filter is applied to an image whose response is independent of the direction of discontinuities in the image. The filter is/are ________

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Q. In isotropic filtering, which of the following is/are the simplest isotropic derivative operator?

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Q. The Laplacian is which of the following operator?

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Q. The Laplacian ∇^2 f=[f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 4f(x, y)], gives an isotropic result for rotations in increment by what degree?

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Q. The Laplacian incorporated with diagonal directions, i.e. ∇^2 f=[f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 8f(x, y)], gives an isotropic result for rotations in increment by what degree?

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Q. Applying Laplacian has which of the following result(s)?

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Q. Applying Laplacian produces image having featureless background which is recovered maintaining the sharpness of Laplacian operation by either adding or subtracting it from the original image depending upon the Laplacian definition used. Which of the following is true based on above statement?

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Q. A mask of size 3*3 is formed using Laplacian including diagonal neighbors that has central coefficient as 9. Then, what would be the central coefficient of same mask if it is made without diagonal neighbors?

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Q. Which of the following mask(s) is/are used to sharpen images by subtracting a blurred version of original image from the original image itself?

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Q. Which of the following gives an expression for high boost filtered image fhb, if f represents an image, f blurred version of f, fs unsharp mask filtered image and A ≥ 1?

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Q. If we use a Laplacian to obtain sharp image for unsharp mask filtered image fs(x, y) of f(x, y) as input image, and if the center coefficient of the Laplacian mask is negative then, which of the following expression gives the high boost filtered image fhb, if ∇^2 f represent Laplacian?

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Q. “For very large value of A, a high boost filtered image is approximately equal to the original image”. State whether the statement is true or false?

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