Bits Required to Store Digitized Image Solution

STEP 0: Pre-Calculation Summary
Formula Used
Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits
nid = M*N*nb
This formula uses 4 Variables
Variables Used
Bits in Digitized Image - Bits in Digitized Image represent the smallest unit of data, determining pixel depth and color information, with higher bit-depth allowing for greater color accuracy and detail representation.
Digital Image Row - Digital Image Row is the row or small pixel that is present at the x-axis storing image information.
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 Row: 9 --> No Conversion Required
Digital Image Column: 1.5 --> No Conversion Required
Number of Bits: 5 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
nid = M*N*nb --> 9*1.5*5
Evaluating ... ...
nid = 67.5
STEP 3: Convert Result to Output's Unit
67.5 --> No Conversion Required
FINAL ANSWER
67.5 <-- Bits in Digitized Image
(Calculation completed in 00.004 seconds)

Credits

Creator Image
Created by Ritwik Tripathi
Vellore Institute of Technology (VIT Vellore), Vellore
Ritwik Tripathi has created this Calculator and 10+ more calculators!
Verifier Image
Verified by Parminder Singh
Chandigarh University (CU), Punjab
Parminder Singh has verified this Calculator and 600+ more calculators!

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 Digitized Image Formula

Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits
nid = M*N*nb

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 Digitized Image?

Bits Required to Store Digitized Image calculator uses Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits to calculate the Bits in Digitized Image, Bits Required to Store Digitized Image refers to the amount of binary data needed to represent each pixel's color information, determining image quality and file size. Bits in Digitized Image is denoted by nid symbol.

How to calculate Bits Required to Store Digitized Image using this online calculator? To use this online calculator for Bits Required to Store Digitized Image, enter Digital Image Row (M), Digital Image Column (N) & Number of Bits (nb) and hit the calculate button. Here is how the Bits Required to Store Digitized Image calculation can be explained with given input values -> 67.5 = 9*1.5*5.

FAQ

What is Bits Required to Store Digitized Image?
Bits Required to Store Digitized Image refers to the amount of binary data needed to represent each pixel's color information, determining image quality and file size and is represented as nid = M*N*nb or Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits. Digital Image Row is the row or small pixel that is present at the x-axis storing image information, 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 Digitized Image?
Bits Required to Store Digitized Image refers to the amount of binary data needed to represent each pixel's color information, determining image quality and file size is calculated using Bits in Digitized Image = Digital Image Row*Digital Image Column*Number of Bits. To calculate Bits Required to Store Digitized Image, you need Digital Image Row (M), Digital Image Column (N) & Number of Bits (nb). With our tool, you need to enter the respective value for Digital Image Row, 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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