Mura Inspection Device Dimensionality Reduction Luminance Uniformity

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Solution Overview

Problem

Display devices often suffer from mura, a phenomenon of uneven luminance due to environmental conditions and manufacturing variations, which existing technologies struggle to effectively address through uniformity correction.

Innovation Solution

A mura inspection device that measures luminance, detects distortion regions, adjusts luminance, generates a mura matrix, and applies dimensionality reduction to compress the matrix into encoding data, which is then communicated to the display device for correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If dimensionality reduction is applied to compress the mura matrix, then the data size is reduced, but the measurement precision may be compromised

Engineering Contradiction:
Improvedata sizeVSAvoidluminance measurement precision
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent transforms the high-dimensional mura matrix data into a lower-dimensional encoding space while preserving the essential luminance uniformity information. This dimensionality reduction is achieved through mathematical transformation that maintains the critical characteristics needed for mura defect detection and compensation, thereby reducing data size without sacrificing measurement precision.

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

Solution Approach 2:

The patent changes the parameter representation of luminance data by transforming the original mura matrix parameters into compressed encoding parameters. This parameter transformation allows the essential luminance uniformity characteristics to be preserved in a more compact form, achieving data compression while maintaining the accuracy required for effective mura compensation.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If distortion regions are adjusted to improve luminance uniformity, then the luminance uniformity is improved, but the processing complexity increases

Engineering Contradiction:
Improveluminance uniformityVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent divides the display panel into distinct regions, identifying distortion regions separately from normal regions. By segmenting the processing target, the system can apply specific adjustment strategies to distortion regions while maintaining efficiency, thereby improving luminance uniformity without unnecessarily increasing overall processing complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different processing approaches to different regions of the display panel. Distortion regions receive targeted luminance adjustment while other regions follow standard processing. This localized quality approach ensures that complex processing is applied only where necessary, improving overall luminance uniformity without uniformly increasing processing complexity across the entire panel.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS12217721B2Mura inspection device for compressing mura data through dimensionality reduction, operating method, and display system including the same
Publication Date: 2025.02.04 SAMSUNG ELECTRONICS CO LTD
  • US12217721B2 patent drawing
  • US12217721B2 patent drawing
  • US12217721B2 patent drawing

AI summary

A mura inspection device may include; an optical meter configured to measure luminance of a display region and generate a first luminance matrix, a luminance preprocessor configured to detect a distortion region of the display region in relation to the first luminance matrix, and generate a second luminance matrix by adjusting luminance of the distortion region, a mura generator configured to generate a mura matrix in relation to a difference between the second luminance matrix and a reference value, and an encoder configured to generate encoding data by applying dimensionality reduction to the mura matrix.