Grayscale Data Determination for Misaligned Stacked-Panel Displays

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Solution Overview

Problem

Existing display technologies face challenges in accurately determining grayscale data for stacked-screen display devices, particularly when the panels are misaligned, leading to issues with color fidelity and contrast.

Innovation Solution

A method and apparatus for determining grayscale data in a stacking-screen display device, which involves acquiring a source image, calculating weighted pixel values for misaligned edges, replacing pixel values to create a corrected image, and determining grayscale data for both panels based on this image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If screen stacking is used to combine color and monochrome panels, then display functionality and detail are improved, but misalignment between panels causes edge distortion and color fidelity loss

Engineering Contradiction:

Improvedisplay functionalityVSAvoidpanel alignment

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by calculating and applying a transformation matrix before the actual display rendering. The transformation matrix pre-compensates for the misalignment between color and monochrome panels, allowing the system to handle misalignment issues proactively rather than reactively during display processing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The transformation matrix serves as an intermediary element that mediates between the color panel and monochrome panel coordinate systems. It translates and transforms pixel coordinates from one panel's reference frame to the other panel's reference frame, enabling accurate grayscale data determination despite physical misalignment

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If grayscale data is determined using traditional methods for misaligned panels, then processing speed is maintained, but color accuracy and contrast are degraded

Engineering Contradiction:

Improveprocessing speedVSAvoidgrayscale data accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent replaces traditional mechanical/physical alignment methods with a computational transformation approach. Instead of physically aligning panels or using complex hardware correction mechanisms, the system uses a transformation matrix to computationally adjust and compensate for misalignment, achieving accurate grayscale data determination through software-based correction

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Device complexity

If the first panel's edge pixels are directly mapped to the second panel, then the mapping process is simple, but pixels outside the second panel's display face are lost

Engineering Contradiction:

Improvemapping process complexityVSAvoidedge pixel information

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The patent applies dimensionality change by introducing a transformation matrix that operates in a higher-dimensional coordinate space. This matrix handles the mapping not just in one dimension but across multiple dimensions simultaneously, allowing it to account for the extended edge pixels that would otherwise be lost due to the second panel's smaller display area

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS12327507B2Method and apparatus for determining grayscale data by calculating weighted values, device, and screen drive board

Publication Date: 2025.06.10 BEIJING BOE OPTOELECTRONCIS TECH CO LTD

AI summary

Provided is a method for determining grayscale data. The method for determining grayscale data includes acquiring a source image; acquiring pixel values of third pixel points by calculating weighted values of channel values of a first pixel point and channel values of second pixel points of corresponding colors; acquiring a first image by replacing pixel values of the second pixel points in the source image with the pixel values of the third pixel points; and determining grayscale data of the first panel and grayscale data of the second panel based on the first image.