Display Image Correction for User Perceptual Distortion
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Solution Overview
Problem
Existing electronic apparatuses fail to account for user-specific perceptual distortions in image perception due to varying display and ambient brightness, leading to inconsistent color perception among users.
Innovation Solution
An electronic apparatus that includes a processor to identify display and ambient brightness, correct image characteristics based on user input, and adjust image signals to minimize perceptual distortion by calculating correction values based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image characteristics are corrected based on display brightness and ambient light, then perceptual distortion is reduced, but device complexity increases
Solution Approach 1:
The system performs preliminary correction of image characteristics by adjusting saturation and color values before display based on pre-measured display brightness and ambient light conditions. This preliminary action prevents perceptual distortion from occurring in the first place, rather than correcting it after the fact.
Solution Approach 2:
The system incorporates user feedback through adjustment inputs when viewing test images to continuously refine and update correction values. This feedback mechanism allows the system to adapt to individual user perceptual characteristics and environmental changes, improving perceptual accuracy over time without requiring complete system redesign.
2Measurement precision
If correction values are calculated based on multiple brightness parameters, then perceptual distortion is minimized, but processing time increases
Solution Approach 1:
The system calculates correction values based on display brightness and ambient light conditions in advance, before the actual image is displayed. This preliminary calculation of correction values avoids time-consuming processing during real-time display operations.
Solution Approach 2:
The system focuses correction efforts on the most perceptually critical parameters (saturation and color values) rather than attempting to correct all image characteristics equally. This partial action approach achieves sufficient perceptual accuracy without the computational overhead of comprehensive correction.
3Measurement precision
If test images are displayed for user adjustment input, then individual perceptual characteristics are accounted for, but productivity decreases
Solution Approach 1:
The system obtains adjustment inputs for only the most critical image characteristics (such as saturation and color balance) rather than requiring user feedback on all possible parameters. This partial feedback approach captures sufficient individual perceptual characteristics while minimizing the time users must spend on adjustments.
Solution Approach 2:
The system performs the time-consuming test image display and user input collection process in advance, before normal image viewing begins. This preliminary characterization of user perceptual characteristics allows for rapid, automated correction of subsequent images without requiring repeated user interactions.
Data Source
AI summary
An electronic apparatus includes a memory storing instructions and a processor configured to execute the instructions to identify a display environment of an image, correct characteristics of a test image provided to identify a user's visual perception for characteristics of the image to correspond to the identified display environment, display the test image having the corrected characteristics on a display, and correct the characteristics of the image based on the user's adjustment input for the characteristics of the displayed test image.