SET-2-Question-11 .- An example of linear noise cleaning technique is ––––––––.

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Answer- Homomorphic Filtering or Convolution method

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SET-2-Question-12 .- In the case of linear edge crispening, masks which are used possess a property that the sum of their elements is –––.

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Answer- unity

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SET-2-Question-13 .- –––––––– produces a colour image from a monochrome image

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Answer- Pseudocolour

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SET-2-Question-14 .- There are two basic approaches to the modelling of image degradation effects: –––– and ––––––.

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Answer- a priori modelling, a posteriori modelling

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SET-2-Question-15 .- The result of sampling and quantization is a matrix of ______ numbers.

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Answer- Real

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SET-2-Question-16 .- The 4-neighbours of p and Diagonal neighbours of p are called _______.

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Answer- 8-neighbours

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SET-2-Question-17 .- _______ are used to calculate the spatial distance between pixel locations.

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Answer- Distance measures

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SET-2-Question-18 .- The Euclidean distance between p and q is defined as _________.

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Answer- De(p,q) = [(x-s)2 + (y-t)2]1/2

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SET-2-Question-19 .- –––––––– may be caused by electronic imaging sensors or film granularity.

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Answer- Noise disturbances

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SET-2-Question-20 .- The noise covariance function of an observed image can be estimated by measuring the ––––– over a region of relatively constant background luminance.

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Answer- image covariance

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