Projector Image Quality Matching Across Different Models
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Solution Overview
Problem
Existing display devices struggle to match image quality across different manufacturers and models, as described in JP-A-2006-276144, leading to inconsistencies in image quality between devices.
Innovation Solution
An image quality control method that involves acquiring first information from a first display device, retrieving corresponding second information from a database associating first and second device qualities, and setting the second display device with the acquired information to match the desired image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic image quality adjustment is implemented between different display devices, then image quality consistency is improved, but device compatibility and matching precision deteriorate due to different manufacturers and models
Solution Approach 1:
A database is introduced as an intermediary component that stores pre-measured image quality information from multiple display devices. The system queries this database to obtain corresponding image quality settings for different device types, enabling automatic adjustment without direct device-to-device calibration. This mediator approach resolves the contradiction by providing a standardized reference that works across different manufacturers and models while maintaining matching precision.
Solution Approach 2:
The system changes the approach from direct physical calibration to parameter-based adjustment by storing and retrieving image quality parameters (such as color temperature, brightness, contrast) in a database. By transforming the calibration process into parameter queries and applications, the system achieves both automatic adjustment and cross-device compatibility, resolving the contradiction between automation and precision.
2Adaptability or versatility
If a database storing image quality information for multiple devices is created, then adaptability across different devices is improved, but system complexity increases
Solution Approach 1:
Instead of creating complex communication and calibration protocols between devices, the system creates a simplified copy of image quality information in a database. Each device's characteristics are copied into standardized parameters that can be quickly queried and applied, reducing system complexity while maintaining high adaptability across different display devices.
Data Source
AI summary
An image quality control method includes acquiring first information indicating image quality of a first projector, acquiring second information indicating image quality, which corresponds to the first information, of a second projector different from the first projector from a database that stores the first information and the second information in association with each other, and setting the second information in the second projector.


