AMOLED Pixel Calibration Using Coarse-Fine Pattern Imaging

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Solution Overview

Problem

Modern display technologies, particularly AMOLED panels, suffer from luminance non-uniformity and defects that require precise pixel location calibration for accurate optical correction, which becomes challenging with increasing resolution and complexity.

Innovation Solution

An optical correction method involving a camera and calibration patterns with coarse and fine features is used to generate coarse and high-resolution estimates of pixel locations, enabling the creation of correction data for uniform image display.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single high-resolution calibration pattern is used, then measurement precision is improved, but device complexity and processing difficulty increase

Engineering Contradiction:
Improvepixel location identification accuracyVSAvoidcalibration pattern complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The calibration pattern is segmented into two distinct levels: coarse features (spaced pattern of larger elements) and fine features (spaced pattern of smaller elements). The coarse features provide a low-resolution framework for initial pixel location estimation, while the fine features embedded within each coarse feature provide high-resolution refinement. This segmentation allows the system to achieve high measurement precision without overwhelming complexity in a single monolithic pattern.

Inventive Principle:
Principle #1Segmentation

2Manufacturing precision

If higher resolution display panels are used, then product quality is improved, but pixel location calibration difficulty increases

Engineering Contradiction:
Improvedisplay resolutionVSAvoidpixel location calibration difficulty
Core Design Contradiction:
Manufacturing precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The calibration approach transitions from attempting to directly measure all pixel locations in a single high-resolution step to a two-dimensional hierarchical approach. First, coarse features establish a low-resolution mapping framework across the entire panel. Then, fine features provide localized high-resolution corrections within each coarse feature region. This dimensional decomposition makes calibration of high-resolution displays feasible by breaking down the complex measurement task into manageable stages.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Area of stationary object

If coarse features are spaced throughout the entire pattern, then measurement coverage is improved, but fine feature visibility and localization accuracy decrease

Engineering Contradiction:
Improvecalibration pattern coverageVSAvoidfine feature location accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The calibration pattern implements local quality by concentrating fine features within localized regions defined by coarse features. Each coarse feature acts as a boundary container that encloses a specific set of fine features. This local concentration ensures that fine features remain densely packed and easily distinguishable within their local contexts, while the coarse features provide overall spatial coverage and structural framework across the entire calibration pattern area.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11917309B2Pixel location calibration image capture and processing
Publication Date: 2024.02.27 IGNIS INNOVATION
  • US11917309B2 patent drawing
  • US11917309B2 patent drawing
  • US11917309B2 patent drawing

AI summary

What is disclosed are systems and methods for optical correction for correcting for non-uniformity in active matrix light emitting diode device (AMOLED) and other emissive displays, using iterative processing of images of calibration patterns including features of coarse and fine granularity to successively generate a high-resolution estimate of the panel pixel locations.