✖Quality Factor Image represents the degree of image fidelity or resolution preservation in image processing, quantifying the relationship between original and processed image qualities.ⓘ Quality Factor Image [Q]			+10% -10%
✖Rejection Constant Image is a representation of a constant used in image processing algorithms to attenuate or eliminate specific frequency components.ⓘ Rejection Constant Image [ρ]			+10% -10%

✖Customer Selling Price is the amount charged to customers for a product or service, determined by factors like production costs, market demand, competition, and desired profit margins.ⓘ Rejection of Image Frequency [CSP]

⎘ Copy

👎

Formula

✖

Rejection of Image Frequency

Formula

`"CSP" = (1+"Q"^2*"ρ"^2)^0.5`

Example

`"300.0017"=(1+("20")^2*("15")^2)^0.5`

Calculator

LaTeX

Reset

👍

Download Basics of Image Processing Formulas PDF PDF Image

Rejection of Image Frequency Solution

STEP 0: Pre-Calculation Summary

Formula Used

Customer Selling Price = (1+Quality Factor Image^2*Rejection Constant Image^2)^0.5
CSP = (1+Q^2*ρ^2)^0.5
This formula uses 3 Variables

Variables Used

Customer Selling Price - Customer Selling Price is the amount charged to customers for a product or service, determined by factors like production costs, market demand, competition, and desired profit margins.
Quality Factor Image - Quality Factor Image represents the degree of image fidelity or resolution preservation in image processing, quantifying the relationship between original and processed image qualities.
Rejection Constant Image - Rejection Constant Image is a representation of a constant used in image processing algorithms to attenuate or eliminate specific frequency components.

STEP 1: Convert Input(s) to Base Unit

Quality Factor Image: 20 --> No Conversion Required
Rejection Constant Image: 15 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

CSP = (1+Q^2*ρ^2)^0.5 --> (1+20^2*15^2)^0.5

Evaluating ... ...

CSP = 300.001666662037

STEP 3: Convert Result to Output's Unit

300.001666662037 --> No Conversion Required

FINAL ANSWER

300.001666662037 ≈ 300.0017 <-- Customer Selling Price

(Calculation completed in 00.004 seconds)

You are here -

Home » Engineering » Electronics » Digital Image Processing » Basics of Image Processing » Rejection of Image Frequency

Credits

Created by Pranav Simha R

BMS College of Engineering (BMSCE), Bangalore,India

Pranav Simha R has created this Calculator and 10+ more calculators!

Verified by Rachita C

BMS College Of Engineering (BMSCE), Banglore

Rachita C has verified this Calculator and 50+ more calculators!

< 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

Rejection of Image Frequency Formula

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

What is quality factor What is its importance?

The Q factor or quality factor gives the sharpness of resonance obtained in the LCR circuit. If Q value is more, then the resonance will be very sharp and if it is less then resonance will be weak giving rise to weaker circuit.

How to Calculate Rejection of Image Frequency?

Rejection of Image Frequency calculator uses Customer Selling Price = (1+Quality Factor Image^2*Rejection Constant Image^2)^0.5 to calculate the Customer Selling Price, The Rejection of Image Frequency is defined as the ratio of gain at signal frequency to the gain at the image frequency. Customer Selling Price is denoted by CSP symbol.

How to calculate Rejection of Image Frequency using this online calculator? To use this online calculator for Rejection of Image Frequency, enter Quality Factor Image (Q) & Rejection Constant Image (ρ) and hit the calculate button. Here is how the Rejection of Image Frequency calculation can be explained with given input values -> 300.0017 = (1+20^2*15^2)^0.5.

FAQ

What is Rejection of Image Frequency?

The Rejection of Image Frequency is defined as the ratio of gain at signal frequency to the gain at the image frequency and is represented as CSP = (1+Q^2*ρ^2)^0.5 or Customer Selling Price = (1+Quality Factor Image^2*Rejection Constant Image^2)^0.5. Quality Factor Image represents the degree of image fidelity or resolution preservation in image processing, quantifying the relationship between original and processed image qualities & Rejection Constant Image is a representation of a constant used in image processing algorithms to attenuate or eliminate specific frequency components.

How to calculate Rejection of Image Frequency?

The Rejection of Image Frequency is defined as the ratio of gain at signal frequency to the gain at the image frequency is calculated using Customer Selling Price = (1+Quality Factor Image^2*Rejection Constant Image^2)^0.5. To calculate Rejection of Image Frequency, you need Quality Factor Image (Q) & Rejection Constant Image (ρ). With our tool, you need to enter the respective value for Quality Factor Image & Rejection Constant Image and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

Home

FREE PDFs

🔍 Search