✖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%
✖Digital Image Row is the row or small pixel that is present at the x-axis storing image information.ⓘ Digital Image Row [M]			+10% -10%

✖Digital Image Column is the column or small pixel that is present at the y-axis.ⓘ Digital Image Column [N]

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Formula

✖

Digital Image Column

Formula

`"N" = "n"_{"b"}/("M"^2)`

Example

`"0.061728"="5"/(("9")^2)`

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Digital Image Column Solution

STEP 0: Pre-Calculation Summary

Formula Used

Digital Image Column = Number of Bits/(Digital Image Row^2)
N = n_b/(M^2)
This formula uses 3 Variables

Variables Used

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".
Digital Image Row - Digital Image Row is the row or small pixel that is present at the x-axis storing image information.

STEP 1: Convert Input(s) to Base Unit

Number of Bits: 5 --> No Conversion Required
Digital Image Row: 9 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

N = n_b/(M^2) --> 5/(9^2)

Evaluating ... ...

N = 0.0617283950617284

STEP 3: Convert Result to Output's Unit

0.0617283950617284 --> No Conversion Required

FINAL ANSWER

0.0617283950617284 ≈ 0.061728 <-- Digital Image Column

(Calculation completed in 00.004 seconds)

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< 17 Basics of Image Processing Calculators

Standard Deviation by Linear Function of Camera Exposure Time

Go Standard Deviation = Model Function*(Radiant Intensity)*Model Behaviour Function*(1/Distance between Camera and the IRED^2)*(Model Coefficient 1*Camera Exposure Time+Model Coefficient 2)

Bilinear Interpolation

Go Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d

Linear Combination of Expansion

Go Linear Combination of Expansion Functions = sum(x,0,Integer Index for Linear Expansion,Real Valued Expansion Coefficients*Real Valued Expansion Functions)

Cumulative Frequency for Each Brightness Value

Go Cumulative Frequency for Each Brightness = 1/Total Number of Pixels*sum(x,0,Maximum Brightness Value,Frequency of Occurrence of Each Brightness Value)

Band Loads Associated with Principle Components

Go K Band Loads with P Principle Components = Eigen Band k Component P*sqrt(Pth Eigenvalue)/sqrt(Band Variance Matrix)

Run-Length Entropy of Image

Go Run Length Entropy Image = (Entropy Black Run Length+Entropy of White Run Length)/(Average Black Run Length+Average White Run Length)

Wavelet Coefficient

Go Detail Wavelet Coefficient = int(Scaling Function Expansion*Wavelet Expansion Function*x,x,0,Integer Index for Linear Expansion)

Quantization Step Size in Image Processing

Go Quantization Step Size = (2^(Nominal Dynamic Range-Bits Allotted Exponent Number))*(1+Bits Allotted to Mantissa Number/2^11)

Digital Image Row

Go Digital Image Row = sqrt(Number of Bits/Digital Image Column)

Digital to Analog Converter

Go Digital to Analog Converter Resolution = Reference Voltage Image/(2^Number of Bits-1)

Rejection of Image Frequency

Go Customer Selling Price = (1+Quality Factor Image^2*Rejection Constant Image^2)^0.5

Probability of Intensity Level Occurring in given Image

Go Probability of Intensity = Intensity Occurs in Image/Total Number of Pixels

Digital Image Column

Go Digital Image Column = Number of Bits/(Digital Image Row^2)

Number of Bits

Go Number of Bits = (Digital Image Row^2)*Digital Image Column

Image File Size

Go Image File Size = Image Resolution*Bit Depth/8000

Energy of Various Components

Go Energy of Component = [hP]*Frequency

Number of Grey Level

Go Grey Level Image = 2^Digital Image Column

Digital Image Column Formula

Digital Image Column = Number of Bits/(Digital Image Row^2)
N = n_b/(M^2)

What is meant by digital image?

An image stored in binary form and divided into a matrix of pixels. Each pixel consists of a digital value of one or more bits, defined by the bit depth.

How to Calculate Digital Image Column?

Digital Image Column calculator uses Digital Image Column = Number of Bits/(Digital Image Row^2) to calculate the Digital Image Column, The Digital Image Column formula is defined as the column or small pixel that is present at the y-axis. Digital Image Column is denoted by N symbol.

How to calculate Digital Image Column using this online calculator? To use this online calculator for Digital Image Column, enter Number of Bits (n_b) & Digital Image Row (M) and hit the calculate button. Here is how the Digital Image Column calculation can be explained with given input values -> 0.061728 = 5/(9^2).

FAQ

What is Digital Image Column?

The Digital Image Column formula is defined as the column or small pixel that is present at the y-axis and is represented as N = n_b/(M^2) or Digital Image Column = Number of Bits/(Digital Image Row^2). Number of Bits is a basic unit of information in digital communications which is represented as logical state as either "1"or"0" & Digital Image Row is the row or small pixel that is present at the x-axis storing image information.

How to calculate Digital Image Column?

The Digital Image Column formula is defined as the column or small pixel that is present at the y-axis is calculated using Digital Image Column = Number of Bits/(Digital Image Row^2). To calculate Digital Image Column, you need Number of Bits (n_b) & Digital Image Row (M). With our tool, you need to enter the respective value for Number of Bits & Digital Image Row 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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