Q:

The standard deviation ‘σ’ at any point in image averaging:

mhmadesk
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2022-06-04
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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)?

  1. Increase in K, decreases the noise of pixel values
  2. Increase in K, increases the noise of pixel values
  3. Decrease in K, decreases the noise of pixel values
  4. Decrease in K, increases the noise of pixel values
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mhmadesk
2022-06-04
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(a).Increase in K, decreases the noise of pixel values

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