Bits Required to Store Square Image Calculator

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Intensity Transformation

Digital Image Fundamentals

✖Digital Image Column is the column or small pixel that is present at the y-axis.ⓘ Digital Image Column [N]			+10% -10%
✖Number of bits is a basic unit of information in digital communications which is represented as logical state as either "1"or"0".ⓘ Number of Bits [n_b]			+10% -10%

✖Bits in Digitized Square Image represent pixels and their color depth, determining image quality and storage requirements.ⓘ Bits Required to Store Square Image [b_s]

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Formula

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Bits Required to Store Square Image

Formula

`"b"_{"s"} = ("N")^2*"n"_{"b"}`

Example

`"11.25"=("1.5")^2*"5"`

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Bits Required to Store Square Image Solution

STEP 0: Pre-Calculation Summary

Formula Used

Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits
b_s = (N)^2*n_b
This formula uses 3 Variables

Variables Used

Bits in Digitized Square Image - Bits in Digitized Square Image represent pixels and their color depth, determining image quality and storage requirements.
Digital Image Column - Digital Image Column is the column or small pixel that is present at the y-axis.
Number of Bits - Number of bits is a basic unit of information in digital communications which is represented as logical state as either "1"or"0".

STEP 1: Convert Input(s) to Base Unit

Digital Image Column: 1.5 --> No Conversion Required
Number of Bits: 5 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

b_s = (N)^2*n_b --> (1.5)^2*5

Evaluating ... ...

b_s = 11.25

STEP 3: Convert Result to Output's Unit

11.25 --> No Conversion Required

FINAL ANSWER

11.25 <-- Bits in Digitized Square Image

(Calculation completed in 00.004 seconds)

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Created by Ritwik Tripathi

Vellore Institute of Technology (VIT Vellore), Vellore

Ritwik Tripathi has created this Calculator and 10+ more calculators!

Verified by Parminder Singh

Chandigarh University (CU), Punjab

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< 14 Intensity Transformation Calculators

Histogram Linearization

Go Discrete Form of Transformation = ((Number of Intensity Levels-1)/(Digital Image Row*Digital Image Column)*sum(x,0,Number of Intensity Levels-1,Number of Pixels with Intensity Ri))

Nth Moment of Discrete Random Variable

Go Nth Moment of Discrete Random Variable = sum(x,0,Number of Intensity Levels-1,Probability of Intensity Ri*(Intensity Level of Ith Pixel-Mean of Intensity Level)^Order of Moment)

Variance of Pixels in Subimage

Go Variance of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Probability of Occurrence of Rith in Subimage*(Intensity Level of Ith Pixel-Subimage Pixel Mean Intensity Level)^2)

Mean Value of Pixels in Neighborhood

Go Global Mean Pixel Intensity level of Subimage = sum(x,0,Number of Intensity Levels-1,Intensity Level of Ith Pixel*Probability of Occurrence of Rith in Subimage)

Mean Value of Pixels in Subimage

Go Mean Value of Pixels in Subimage = sum(x,0,Number of Intensity Levels-1,Intensity Level of ith Pixel in Subimage*Probability of Zi in Subimage)

Histogram Equalization Transformation

Go Transformation of Continuous intensities = (Number of Intensity Levels-1)*int(Probability Density Function*x,x,0,Continuous Intensity)

Transformation Function

Go Transformation Function = (Number of Intensity Levels-1)*sum(x,0,(Number of Intensity Levels-1),Probability of Intensity Ri)

Average Intensity of Pixels in Image

Go Average Intensity of Image = sum(x,0,(Intensity Value-1),(Intensity Level*Normalized Histogram Component))

Characteristic Response of Linear Filtering

Go Characteristic Response of Linear Filtering = sum(x,1,9,Filter Coefficients*Corresponding Image Intensities of Filter)

Bits Required to Store Digitized Image

Go Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits

Bits Required to Store Square Image

Go Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits

Energy of Components of EM Spectrum

Go Energy of Component = [hP]/Frequency of Light

Wavelength of Light

Go Wavelength of Light = [c]/Frequency of Light

Number of Intensity Levels

Go Number of Intensity Level = 2^Number of Bits

Bits Required to Store Square Image Formula

Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits
b_s = (N)^2*n_b

What are applications of digitized images?

Digitized images find applications across various fields, including medicine (MRI, CT scans), entertainment (movies, gaming), security (facial recognition), astronomy (telescope imaging), and more. They're used in education, design, art, and numerous industries for analysis, visualization, and creative purposes.

How to Calculate Bits Required to Store Square Image?

Bits Required to Store Square Image calculator uses Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits to calculate the Bits in Digitized Square Image, Bits Required to Store Square Image refers to the number of bits needed to store a square image calculated as width x height x bits per pixel (bpp), determining the image's total pixel count. Bits in Digitized Square Image is denoted by b_s symbol.

How to calculate Bits Required to Store Square Image using this online calculator? To use this online calculator for Bits Required to Store Square Image, enter Digital Image Column (N) & Number of Bits (n_b) and hit the calculate button. Here is how the Bits Required to Store Square Image calculation can be explained with given input values -> 11.25 = (1.5)^2*5.

FAQ

What is Bits Required to Store Square Image?

Bits Required to Store Square Image refers to the number of bits needed to store a square image calculated as width x height x bits per pixel (bpp), determining the image's total pixel count and is represented as b_s = (N)^2*n_b or Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits. Digital Image Column is the column or small pixel that is present at the y-axis & Number of bits is a basic unit of information in digital communications which is represented as logical state as either "1"or"0".

How to calculate Bits Required to Store Square Image?

Bits Required to Store Square Image refers to the number of bits needed to store a square image calculated as width x height x bits per pixel (bpp), determining the image's total pixel count is calculated using Bits in Digitized Square Image = (Digital Image Column)^2*Number of Bits. To calculate Bits Required to Store Square Image, you need Digital Image Column (N) & Number of Bits (n_b). With our tool, you need to enter the respective value for Digital Image Column & Number of Bits and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

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