Q. An image has significant edge details. Which of the following fact(s) is/are true for the gradient image and the Laplacian image of the same?

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Q. Gradient have some important features. Which of the following is/are some of them?

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Q. Gradient is used in which of the following area(s)?

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Q. What is the sum of the coefficient of the mask defined using gradient?

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Q. A First derivative in image processing is implemented using which of the following given operator(s)?

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Q. Subtracting Laplacian from an image is proportional to which of the following?

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

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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. 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 is which of the following operator?

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

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

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