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: 0.061 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
M = sqrt(nb/N) --> sqrt(5/0.061)
Evaluating ... ...
M = 9.05357460425185
STEP 3: Convert Result to Output's Unit
9.05357460425185 --> No Conversion Required
FINAL ANSWER
9.05357460425185 9.053575 <-- Digital Image Row
(Calculation completed in 00.020 seconds)

Credits

Creator Image
Created by Shobhit Dimri
Bipin Tripathi Kumaon Institute of Technology (BTKIT), Dwarahat
Shobhit Dimri has created this Calculator and 900+ more calculators!
Verifier Image
Verified by Urvi Rathod
Vishwakarma Government Engineering College (VGEC), Ahmedabad
Urvi Rathod has verified this Calculator and 1900+ more calculators!

Basics of Image Processing Calculators

Bilinear Interpolation
​ LaTeX ​ Go Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d
Digital Image Row
​ LaTeX ​ Go Digital Image Row = sqrt(Number of Bits/Digital Image Column)
Digital Image Column
​ LaTeX ​ Go Digital Image Column = Number of Bits/(Digital Image Row^2)
Number of Grey Level
​ LaTeX ​ Go Grey Level Image = 2^Digital Image Column

Digital Image Row Formula

​LaTeX ​Go
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 -> 1.825742 = sqrt(5/0.061).

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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