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

The noise is correlated at every pair of coordinate (x, y)

The noise has average value 1 at every pair of coordinate (x, y)

In Image Averaging enhancement method assumptions are made for a noisy

1.	In Image Averaging enhancement method assumptions are made for a noisy image g(x, y). What is/are those?
A.	The noise is correlated at every pair of coordinate (x, y)
B.	The noise has average value 1 at every pair of coordinate (x, y)
C.	All of the mentioned
D.	None of the mentioned
Answer» E.

Discussion

No Comment Found

Related MCQs

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)?
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 lim its. What is/are those lim its?
The standard deviation ‚Äö√Ñ√∂‚àö√ë‚àö‚â§‚âà√¨‚àö√¢‚Äö√Ñ√∂‚àö√ë‚àö¬• at any point in image averaging: ‚âà√¨‚àö√¢¬¨‚àë‚Äö√†√®¬¨‚àû(x, y) = 1/‚Äö√Ñ√∂‚àö‚Ä†‚àö‚àÇK ‚âà√¨‚àö√¢‚Äö√Ñ¬∂‚Äö√¢‚Ä¢(x, y), where ¬¨‚àë‚Äö√†√®¬¨‚àû(x, y) is the average image formed by averaging K different noisy images and ‚Äö√Ñ¬∂‚Äö√¢‚Ä¢(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)?#
In Image Averaging enhancement method assumptions are made for a noisy image g(x, y). What is/are those?
When can two random variables be uncorrelated?
Which of the following is/are the fundamental factors that need tight control for difference based inspection work?
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 lim its. What is/are those lim its?
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?
The subtraction operation results in areas that appear as dark shades of gray. Why?
Which of the following is/are more commercially successful image enhancement method in mask mode radiography, an area under medical imaging?

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

Discussion

No Comment Found

Related MCQs

Reply to Comment