Variance of Pixels in Subimage Formula

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Variance of Pixels in Subimage represents the variance of pixel intensities in the subimage S_xy. The unit of variance is the square of the unit of the intensity levels. Check FAQs
σsxy=(x,0,L-1,pSxy_ri(ri-mSxy)2)
σsxy - Variance of Pixels in Subimage?L - Number of Intensity Levels?pSxy_ri - Probability of Occurrence of Rith in Subimage?ri - Pixel Intensity Level?mSxy - Subimage Pixel Mean Intensity Level?

Variance of Pixels in Subimage Example

With values
With units
Only example

Here is how the Variance of Pixels in Subimage equation looks like with Values.

Here is how the Variance of Pixels in Subimage equation looks like with Units.

Here is how the Variance of Pixels in Subimage equation looks like.

9Edit=(x,0,4Edit-1,0.25Edit(15Edit-12Edit)2)
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Variance of Pixels in Subimage Solution

Follow our step by step solution on how to calculate Variance of Pixels in Subimage?

FIRST Step Consider the formula
σsxy=(x,0,L-1,pSxy_ri(ri-mSxy)2)
Next Step Substitute values of Variables
σsxy=(x,0,4-1,0.25(15W/m²-12)2)
Next Step Prepare to Evaluate
σsxy=(x,0,4-1,0.25(15-12)2)
LAST Step Evaluate
σsxy=9

Variance of Pixels in Subimage Formula Elements

Variables
Functions
Variance of Pixels in Subimage
Variance of Pixels in Subimage represents the variance of pixel intensities in the subimage S_xy. The unit of variance is the square of the unit of the intensity levels.
Symbol: σsxy
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Number of Intensity Levels
Number of Intensity Levels is the total number of distinct intensity values an image can represent, determined by its bit depth.
Symbol: L
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Probability of Occurrence of Rith in Subimage
Probability of Occurrence of Rith in Subimage represents the probability of occurrence of the intensity level r_i within the subimage S_xy.
Symbol: pSxy_ri
Measurement: NAUnit: Unitless
Note: Value should be less than 1.1.
Pixel Intensity Level
Pixel Intensity Level refer to the range of possible intensity values that can be assigned to pixels in an image. This concept is particularly relevant in grayscale images.
Symbol: ri
Measurement: IntensityUnit: W/m²
Note: Value should be greater than 0.
Subimage Pixel Mean Intensity Level
Subimage Pixel Mean Intensity Level represents the mean intensity level of pixels in the subimage S_xy.
Symbol: mSxy
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
sum
Summation or sigma (∑) notation is a method used to write out a long sum in a concise way.
Syntax: sum(i, from, to, expr)

Other formulas in Intensity Transformation category

​Go Wavelength of Light
W=[c]v
​Go Number of Intensity Levels
L=2nb
​Go Bits Required to Store Digitized Image
nid=MNnb
​Go Bits Required to Store Square Image
bs=(N)2nb

How to Evaluate Variance of Pixels in Subimage?

Variance of Pixels in Subimage evaluator uses Variance of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Probability of Occurrence of Rith in Subimage*(Pixel Intensity Level-Subimage Pixel Mean Intensity Level)^2) to evaluate the Variance of Pixels in Subimage, The Variance of Pixels in Subimage formula represents the variance of pixel intensities in the subimage (S_xy). The unit of variance is the square of the unit of the intensity levels. Variance of Pixels in Subimage is denoted by σsxy symbol.

How to evaluate Variance of Pixels in Subimage using this online evaluator? To use this online evaluator for Variance of Pixels in Subimage, enter Number of Intensity Levels (L), Probability of Occurrence of Rith in Subimage (pSxy_ri), Pixel Intensity Level (ri) & Subimage Pixel Mean Intensity Level (mSxy) and hit the calculate button.

FAQs on Variance of Pixels in Subimage

What is the formula to find Variance of Pixels in Subimage?
The formula of Variance of Pixels in Subimage is expressed as Variance of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Probability of Occurrence of Rith in Subimage*(Pixel Intensity Level-Subimage Pixel Mean Intensity Level)^2). Here is an example- 9 = sum(x,0,4-1,0.25*(15-12)^2).
How to calculate Variance of Pixels in Subimage?
With Number of Intensity Levels (L), Probability of Occurrence of Rith in Subimage (pSxy_ri), Pixel Intensity Level (ri) & Subimage Pixel Mean Intensity Level (mSxy) we can find Variance of Pixels in Subimage using the formula - Variance of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Probability of Occurrence of Rith in Subimage*(Pixel Intensity Level-Subimage Pixel Mean Intensity Level)^2). This formula also uses Summation Notation Function function(s).
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