Display Calibration Using Mobile Camera Detection
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Solution Overview
Problem
The challenge lies in achieving accurate and user-friendly display characterization and calibration, particularly for consumers, as adjusting video display settings for optimal picture quality is often beyond average capabilities and requires manual intervention with test patterns and specialized equipment.
Innovation Solution
A method and system utilizing a consumer-grade, mobile camera device to measure light emitted by a display during test image display, generating measurement data for calibration, which can be used to automatically or manually adjust display settings, incorporating techniques such as embedded test images and watermarked video content to assess and calibrate contrast, brightness, and color.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized equipment and manual intervention are used for display calibration, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent uses a camera to capture optical copies of test patterns displayed on the display device. Instead of requiring specialized photometric equipment, the system creates digital representations (images) of the displayed content that can be processed to extract calibration data. This copying approach maintains measurement capability while using consumer-grade equipment.
Solution Approach 2:
The patent replaces manual mechanical adjustment processes with automated computational methods. The camera captures images, and software algorithms automatically analyze the captured data to determine calibration parameters, eliminating the need for manual intervention with physical test patterns and controls.
2Measurement precision
If specialized equipment is used for display calibration, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The calibration system is designed to be self-guiding and automated. The camera device captures test patterns, the processing system automatically analyzes the images to extract display characteristics, and calibration parameters are generated without requiring the user to understand complex photometric concepts or perform manual adjustments. The system serves itself by converting raw image data into actionable calibration information.
Solution Approach 2:
The patent introduces software processing algorithms as an intermediary between the camera capture and the final calibration results. This intermediary layer automatically performs the complex analysis that would otherwise require specialized equipment and expert operation, translating simple image captures into precise display characterization data.
3Measurement precision
If manual calibration with test patterns is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system uses periodic display of test patterns at different luminance levels and color combinations. By systematically cycling through standardized test images, the camera captures multiple frames that collectively provide comprehensive display characterization data, enabling automated analysis to extract all necessary calibration parameters efficiently.
Solution Approach 2:
The patent employs pre-programmed test patterns and automated analysis algorithms that are prepared in advance. The test sequences are designed to elicit specific responses from the display, and the processing system has pre-configured methods for extracting calibration data from the captured images, eliminating the need for real-time manual setup and analysis during the calibration process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables consumers to achieve accurate display characterization and calibration with reduced effort and cost, using a mobile camera device to provide feedback for adjusting display settings, improving picture quality without requiring extensive technical expertise.
Implementation Method 1
using a camera device (e.g., a handheld or other mobile camera device) to measure light emitted by the display
Data Source
AI summary
In a class of embodiments, a method and system for characterizing a display device using a camera device (e.g., a consumer grade, mobile camera device) to sense light emitted by the display device during display of one or more test images, and to generate measurement data characterizing the display and/or calibration data useful for calibrating the display device. In some embodiments, the display device is adjusted or calibrated manually in response to such calibration data, for example by user actuation of display device controls in response to calibration data indicative of display setting recommendations. In some embodiments, the test image(s) are embedded in a video stream (e.g., overlaid on arbitrary video content). For example, test images including appropriate timing information and calibration sequences are embedded in a video stream for display by the display device. In some embodiments, the user is prompted to align the camera device (e.g., to position the camera device such that light emitted from a test image at least substantially fills the camera field of view).