Digital Image Row Solution

STEP 0: Pre-Calculation Summary
Formula Used
Digital Image Row = sqrt(Number of Bits/Digital Image Column)
M = sqrt(nb/N)
This formula uses 1 Functions, 3 Variables
Functions Used
sqrt - A square root function is a function that takes a non-negative number as an input and returns the square root of the given input number., sqrt(Number)
Variables Used
Digital Image Row - Digital Image Row is the row or small pixel that is present at the x-axis storing image information.
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 Column - Digital Image Column is the column or small pixel that is present at the y-axis.
STEP 1: Convert Input(s) to Base Unit
Number of Bits: 5 --> No Conversion Required
Digital Image Column: 1.5 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
M = sqrt(nb/N) --> sqrt(5/1.5)
Evaluating ... ...
M = 1.82574185835055
STEP 3: Convert Result to Output's Unit
1.82574185835055 --> No Conversion Required
FINAL ANSWER
1.82574185835055 1.825742 <-- Digital Image Row
(Calculation completed in 00.004 seconds)

Credits

Created by Shobhit Dimri
Bipin Tripathi Kumaon Institute of Technology (BTKIT), Dwarahat
Shobhit Dimri has created this Calculator and 900+ more calculators!
Verified by Urvi Rathod
Vishwakarma Government Engineering College (VGEC), Ahmedabad
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19 Digital Image Fundamentals 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
Band Loads Associated with Principle Components
Go K Band Loads with P Principle Components = Eigenvalue for Band k component P*sqrt(Pth Eigenvalue)/sqrt(Variance of Band k in Matrix)
Cumulative Frequency for Each Brightness Value
Go Cumulative Frequency for Each Brightness Value = 1/Total Number of Pixels*sum(x,0,Maximum Brightness Value,Frequency of Occurence of Each Brightness Value)
Run-Length Entropy of Image
Go Run Length Entropy of Image = (Entropy of Black Run Length+Entropy of White Run Length)/(Average Value of Black Runlength+Average Value of White Runlength)
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)
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-Number of Bits Alloted to Exponent))*(1+Number of Bits Alloted to Mantissa/2^11)
Watermarked Image
Go Watermarked Image = (1-Weighting Parameter)*Unmarked Image+Weighting Parameter*Watermark
Maximum Efficiency of Steam Engine
Go Maximum Efficiency of Steam Engine = ((Temperature Difference)-(Temperature))/(Temperature Difference)
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/(2^Number of Bits-1)
Rejection of Image Frequency
Go Image Frequency Rejection = (1+Quality Factor^2*Rejection Constant^2)^0.5
Probability of Intensity Level Occurring in given Image
Go Probability of Intensity = Intensity Occurs in Image/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 Number of Grey Level = 2^Digital Image Column

Digital Image Row Formula

Digital Image Row = sqrt(Number of Bits/Digital Image Column)
M = sqrt(nb/N)

What is digital image matrix?

A digital image is a matrix of many small elements, or pixels. Each pixel is represented by a numerical value. In general, the pixel value is related to the brightness or color that we will see when the digital image is converted into an analog image for display and viewing.

How to Calculate Digital Image Row?

Digital Image Row calculator uses Digital Image Row = sqrt(Number of Bits/Digital Image Column) to calculate the Digital Image Row, The Digital Image Row formula is defined as the row or small pixel that is present at the x-axis storing image information. Digital Image Row is denoted by M symbol.

How to calculate Digital Image Row using this online calculator? To use this online calculator for Digital Image Row, enter Number of Bits (nb) & Digital Image Column (N) and hit the calculate button. Here is how the Digital Image Row calculation can be explained with given input values -> 2.94392 = sqrt(5/1.5).

FAQ

What is Digital Image Row?
The Digital Image Row formula is defined as the row or small pixel that is present at the x-axis storing image information and is represented as M = sqrt(nb/N) or Digital Image Row = sqrt(Number of Bits/Digital Image Column). 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 Column is the column or small pixel that is present at the y-axis.
How to calculate Digital Image Row?
The Digital Image Row formula is defined as the row or small pixel that is present at the x-axis storing image information is calculated using Digital Image Row = sqrt(Number of Bits/Digital Image Column). To calculate Digital Image Row, you need Number of Bits (nb) & Digital Image Column (N). With our tool, you need to enter the respective value for Number of Bits & Digital Image Column 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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