Bilinear Interpolation Solution

STEP 0: Pre-Calculation Summary
Formula Used
Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d
Vx,y = A*X+B*Y+C*X*Y+D
This formula uses 7 Variables
Variables Used
Bilinear Interpolation - Bilinear Interpolation is a resampling method in image processing that calculates pixel values using a weighted average of the four nearest pixels, providing smoother transitions.
Coefficient a - Coefficient a is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point (x,y).
X Co-ordinate - X Co-ordinate of the location to which we want to assign an intensity value.
Coefficient b - Coefficient b is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point.
Y Co-ordinate - Y Co-ordinate of the location to which we want to assign an intensity value.
Coefficient c - Coefficient c is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point (x,y).
Coefficient d - Coefficient d is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point (x,y).
STEP 1: Convert Input(s) to Base Unit
Coefficient a: 3.5 --> No Conversion Required
X Co-ordinate: 7 --> No Conversion Required
Coefficient b: 1.15 --> No Conversion Required
Y Co-ordinate: 6 --> No Conversion Required
Coefficient c: 4.15 --> No Conversion Required
Coefficient d: 2.15 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
Vx,y = A*X+B*Y+C*X*Y+D --> 3.5*7+1.15*6+4.15*7*6+2.15
Evaluating ... ...
Vx,y = 207.85
STEP 3: Convert Result to Output's Unit
207.85 --> No Conversion Required
FINAL ANSWER
207.85 <-- Bilinear Interpolation
(Calculation completed in 00.005 seconds)

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Punjab Engineering College (PEC), Chandigarh, India
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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

Bilinear Interpolation Formula

Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d
Vx,y = A*X+B*Y+C*X*Y+D

What is Bilinear Interpolation?

Bilinear Interpolation, is in which we use the four nearest neighbors to estimate
the intensity at a given location.

How to Calculate Bilinear Interpolation?

Bilinear Interpolation calculator uses Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d to calculate the Bilinear Interpolation, Bilinear Interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation. It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of (a mesh of) arbitrary convex quadrilaterals. Bilinear Interpolation is denoted by Vx,y symbol.

How to calculate Bilinear Interpolation using this online calculator? To use this online calculator for Bilinear Interpolation, enter Coefficient a (A), X Co-ordinate (X), Coefficient b (B), Y Co-ordinate (Y), Coefficient c (C) & Coefficient d (D) and hit the calculate button. Here is how the Bilinear Interpolation calculation can be explained with given input values -> 207.85 = 3.5*7+1.15*6+4.15*7*6+2.15.

FAQ

What is Bilinear Interpolation?
Bilinear Interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation. It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of (a mesh of) arbitrary convex quadrilaterals and is represented as Vx,y = A*X+B*Y+C*X*Y+D or Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d. Coefficient a is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point (x,y), X Co-ordinate of the location to which we want to assign an intensity value, Coefficient b is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point, Y Co-ordinate of the location to which we want to assign an intensity value, Coefficient c is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point (x,y) & Coefficient d is one of the four coefficients determined from the four equations in four unknowns that can be written using the four nearest neighbors of point (x,y).
How to calculate Bilinear Interpolation?
Bilinear Interpolation is a method for interpolating functions of two variables (e.g., x and y) using repeated linear interpolation. It is usually applied to functions sampled on a 2D rectilinear grid, though it can be generalized to functions defined on the vertices of (a mesh of) arbitrary convex quadrilaterals is calculated using Bilinear Interpolation = Coefficient a*X Co-ordinate+Coefficient b*Y Co-ordinate+Coefficient c*X Co-ordinate*Y Co-ordinate+Coefficient d. To calculate Bilinear Interpolation, you need Coefficient a (A), X Co-ordinate (X), Coefficient b (B), Y Co-ordinate (Y), Coefficient c (C) & Coefficient d (D). With our tool, you need to enter the respective value for Coefficient a, X Co-ordinate, Coefficient b, Y Co-ordinate, Coefficient c & Coefficient d 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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