Display Image Calibration for User Perception and Color Accuracy
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Solution Overview
Problem
Existing electronic apparatuses fail to accurately reproduce the intended colors of an image due to variations in user perception and display characteristics, leading to discrepancies between the creator's intent and the viewer's experience.
Innovation Solution
An electronic apparatus and method that calibrate images based on the relationship between apparatus characteristics and user cognitive characteristics, using reference cognitive and apparatus characteristics to adjust display settings and ensure color accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard display characteristics are used without calibration, then device complexity is reduced, but color accuracy and image fidelity deteriorate due to variations in user perception and display characteristics
Solution Approach 1:
The system changes display parameters dynamically based on calibrated characteristics. The processor adjusts image characteristics by applying calibration values that transform display parameters (brightness, contrast, color saturation) to match reference standards, thereby improving color accuracy without requiring hardware modification
Solution Approach 2:
The calibration value acts as an intermediary between the raw display output and the reference image characteristics. The processor computes calibration values based on comparing actual display characteristics with reference standards, then uses these values to adjust the displayed image, mediating between device variations and standardized output
2Measurement precision
If no calibration is applied, then ease of operation is improved, but image fidelity and color representation worsen due to apparatus and user perception variations
Solution Approach 1:
The system performs calibration in advance by identifying apparatus characteristics and computing calibration values before actual content display. The processor stores these calibration values for subsequent use, so that when content is displayed, the adjustment is automatically applied without requiring user intervention during operation
Solution Approach 2:
The display apparatus performs self-calibration by automatically identifying its own characteristics and adjusting its output. The processor monitors display performance and applies calibration values autonomously, eliminating the need for manual calibration procedures by the user
3Adaptability or versatility
If individual user cognitive characteristics are accommodated, then adaptability is improved, but device complexity increases due to the need for user-specific calibration
Solution Approach 1:
The calibration system is designed to handle multiple user profiles and display devices through a unified framework. The processor can store and switch between different calibration values for different users and devices, making the system universally applicable to various scenarios without requiring separate calibration mechanisms for each case
Data Source
AI summary
An example electronic apparatus includes a processor configured to identify reference apparatus characteristics and reference cognitive characteristics defined for content to be displayed; identify apparatus characteristics of the electronic apparatus and user cognitive characteristics; and control a display to display an image of the content based on a calibration value of image characteristics based on at least one of a relationship between the reference apparatus characteristics and the apparatus characteristics of the electronic apparatus or a relationship between the reference cognitive characteristics and the user cognitive characteristics.