Screen Calibration System for Automatic Color Tone Correction

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing screen calibration methods for LCD and OLED devices are inefficient and prone to accuracy degradation due to manual calibration processes and lack of ambient light estimation, leading to color distortion and unpleasant visual experiences, especially on large screens with high image definition.

Innovation Solution

A screen calibration system that includes a camera and sensor to capture full screen images and regional optical data, estimating ambient light parameters and luminous characteristics to automatically calibrate colors across all regions of the screen, reducing the need for manual alignment and repetitive data collection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual calibration is performed by taking the calibrator close to all small regions of the screen, then color calibration accuracy can be improved, but calibration time and operation complexity increase significantly

Engineering Contradiction:

Improvecolor calibration accuracyVSAvoidcalibration time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The screen is divided into multiple small regions, and the calibration process segments the data collection by capturing images of each region sequentially. The processor collects optical characteristics from numerous regions through automated image capture and processing, eliminating manual repetition while maintaining comprehensive coverage for accurate color calibration.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The manual mechanical operation of taking the calibrator close to each region is replaced by an automated image capture system. The processor automatically captures images of all screen regions and processes the optical characteristics data, substituting manual mechanical calibration with automated digital image processing to reduce time while maintaining accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual calibration operation is performed by taking the calibrator close to all regions of the screen, then color calibration can be achieved, but alignment error or offset is introduced leading to accuracy degradation

Engineering Contradiction:

Improvecolor calibration accuracyVSAvoidoperation simplicity

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The manual mechanical calibration operation is completely replaced by an automated system that captures images of the screen regions and processes the optical characteristics data. This eliminates the alignment errors and offsets introduced by manual handling of the calibrator, as the automated image capture and processing ensures consistent positioning and measurement across all regions.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Device complexity

If conventional calibration method without ambient light estimation is used, then calibration process is simpler, but calibration accuracy is decreased

Engineering Contradiction:

Improvecalibration process complexityVSAvoidcalibration accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

An ambient light estimation mechanism is introduced as an intermediary component in the calibration process. The processor estimates ambient light conditions and uses this information to compensate for its influence on color measurements. This intermediary step improves calibration accuracy by accounting for environmental factors that would otherwise degrade measurement precision, while adding only moderate complexity through software-based estimation.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentEP3514785B1Screen calibration method and screen calibration system capable of correcting full screen color tones automatically

Publication Date: 2024.10.30 BENQ CORP

Figure 1
Figure 2A~2B
Figure 3

AI summary

A screen calibration method includes acquiring a full screen image displayed on a screen (10) by a camera (11), acquiring first optical data of a first region (R1) of the screen (10) by a sensor (12), adjusting the first optical data of the first region (R1) of the screen (10) according to first calibration parameters for calibrating colors of the first region (R1) to approach target optical data, generating second optical data of a second region (R2) of the screen (10) according to the full screen image and the first optical data of the first region (R1), generating second calibration parameters according to the target optical data and the second optical data, and adjusting the second optical data of the second region (R2) of the screen (10) according to the second calibration parameters for calibrating colors of the second region (R1) to approach the target optical data.