Gamma-Curve Correction Using Gray Scale Mapping

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Solution Overview

Problem

Existing display apparatuses implement inaccurate Gamma curves due to the lack of optical device correction, leading to deviations from standard curves and compromised image quality.

Innovation Solution

A Gamma-curve correction method that determines a standard curve, selects test gray scale values, adjusts input gray scale values to match target brightness, and generates an association relationship between input and correction gray scale values using fitting or interpolation methods to adjust the display apparatus's output.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a preset Gamma curve algorithm is used for correction, then the correction process is simple, but the Gamma curve accuracy deviates from the standard curve

Engineering Contradiction:
Improvecorrection process complexityVSAvoidGamma curve accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary measurement and characterization of the display apparatus's actual Gamma curve characteristics before use. By pre-measuring the actual Gamma curve and storing correction data, the system prepares correction parameters in advance, enabling accurate correction without complex real-time calculations during operation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the actual display output is measured and compared against the standard Gamma curve. The measured deviations are used to generate correction data that is fed back into the correction module, continuously improving the accuracy of the Gamma curve correction based on actual performance.

Inventive Principle:
Principle #23Feedback

2Device complexity

If the preset Gamma curve is not corrected by an optical device, then the device structure is simple, but the output image quality is compromised

Engineering Contradiction:
Improvedevice structureVSAvoidoutput image quality
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The patent introduces a correction module as an intermediary component between the image processing system and the display apparatus. This module contains pre-calculated correction data that mediates between the simple algorithmic approach and the need for high accuracy, providing Gamma curve correction without requiring complex optical devices.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the need for complex optical correction devices with a software-based correction approach. By using computational methods to calculate and apply correction data, the system substitutes mechanical/optical complexity with algorithmic processing, maintaining structural simplicity while improving image quality.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10937351B2Gamma-curve correction method for display apparatus and display apparatus
Publication Date: 2021.03.02 BOE TECHNOLOGY GROUP CO LTD
  • US10937351B2 patent drawing
  • US10937351B2 patent drawing

AI summary

A Gamma-curve correction method for a display apparatus, and a display apparatus. The method includes: determining a standard Gamma curve according to the display apparatus; selecting a plurality of test gray scale values on the standard Gamma curve, and acquiring a plurality of target brightness values corresponding to the plurality of test gray scale values; adjusting an input gray scale value of the display apparatus to obtain a plurality of test-correction gray scale values, where the test-correction gray scale values are corresponding input gray scale values when display brightness of the display apparatus is equal to respective target brightness; generating an association relationship between input gray scale values and correction gray scale values, according to the plurality of test gray scale values and the plurality of test-correction gray scale values; and adjusting the input gray scale value to a corresponding correction gray scale value, according to the association relationship.