The standard deviation at any point in image averaging: (x, y) = 1/ K (x, y), where (x, y) is the average image formed by averaging K different noisy images and (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)?

Question

The standard deviation     at any point in image averaging:   (x, y) = 1/ K   (x, y), where  (x, y) is the average image formed by averaging K different noisy images and  (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)?

McqOptions · Accepted Answer

tIncrease in K, increases the noise of pixel values

McqOptions · Answer

tIncrease in K, decreases the noise of pixel values

McqOptions · Answer

tDecrease in K, decreases the noise of pixel values

McqOptions · Answer

tDecrease in K, increases the noise of pixel values

1.	The standard deviation at any point in image averaging: _{(x, y)} = 1/ K _{(x, y)}, where (x, y) is the average image formed by averaging K different noisy images and (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)?
A.	tIncrease in K, decreases the noise of pixel values
B.	tIncrease in K, increases the noise of pixel values
C.	tDecrease in K, decreases the noise of pixel values
D.	tDecrease in K, increases the noise of pixel values
Answer» B. tIncrease in K, increases the noise of pixel values

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