Mura Correction Factor Calculator

Measured flat field multiplicative mura correction gain at actual positive pixel response, target external, not global gain or a full nonlinear calibration LUT/clip/safety guarantee.

Description

A flat-field correction gain scales an observed pixel response toward a target luminance.

A flat-field correction gain scales an observed pixel response toward a target luminance.1

That local gain requires a positive measured response and a separately established target. The calculation and input requirements are explained below.

When to use Mura Correction Factor Calculator

Enter nonnegative target luminance and positive measured pixel luminance in the same unit.

How to use Mura Correction Factor Calculator and how it works

  1. Prepare the measurements or independently established model inputs described below, with matching units and observation scope.
  2. Enter the required fields and run Mura Correction Factor Calculator.
  3. Read the result fields using the formula, output units, signs and ordering explained below.
  4. Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
Input fieldMeaningValue typeRequirement
callerActualTargetLuminanceCaller Actual Target Luminance. Use the units and matching context stated in the calculation below.numberRequired; nonnegative; finite; other constraints below
actualMeasuredPixelLuminanceActual Measured Pixel Luminance. Use the units and matching context stated in the calculation below.numberRequired; strictly positive; finite; other constraints below

Enter nonnegative target luminance and positive measured pixel luminance in the same unit. Divide target by measured response to return a dimensionless multiplicative gain. A zero target returns zero; clipping and nonlinear panel calibration are not modeled.

gain=targetLuminance/measuredPixelLuminance

Apply the input ordering, units and branch conditions stated above.

Output fieldMeaningValue type
resultObject containing the calculated or selected fields below.object
result.valueNumeric result under the formula and output units explained above.number
json
{
  "input": {
    "callerActualTargetLuminance": 4,
    "actualMeasuredPixelLuminance": 2
  },
  "output": {
    "result": {
      "value": 2
    }
  }
}

Limitations and assumptions

The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.

All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.

Alternative or Complementary methods

Use Screen Door Effect Visibility Calculator for a complementary operation: Screen-door visibility concerns the perception of gaps between display pixels.

Use Mura Uniformity Percentage Calculator for a complementary operation: Display luminance uniformity compares measurements from a matched field.

References

  1. Mura Correction Factor Calculator — tool.io

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