Display Image Quality Adjustment Using Mobile Feedback Control
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Solution Overview
Problem
Users often struggle with manually adjusting TV image quality parameters due to a lack of knowledge, leading to a cumbersome and inefficient adjustment process.
Innovation Solution
A method and apparatus that utilize a mobile terminal to determine the original image quality parameter values of a connected display device, calculate target values based on preset standards, and automatically adjust the image quality parameters without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually adjust image quality parameters on TVs, then users can control the image quality settings, but the adjustment process becomes troublesome and time-consuming due to lack of professional knowledge
Solution Approach 1:
The system performs self-diagnosis of image quality parameters by automatically capturing display content, analyzing it against standard parameters, and generating adjustment recommendations without requiring user expertise or repeated manual trials
Solution Approach 2:
The system captures the actual display output, compares it with standard image quality parameters, and uses this feedback loop to automatically determine the appropriate parameter adjustments needed
2Measurement precision
If professional technicians adjust image quality parameters, then accurate and professional adjustments can be made, but it incurs additional costs for users
Solution Approach 1:
The system enables users to perform professional-grade image quality adjustments themselves through automated analysis and recommendation algorithms, eliminating the need to pay professional technicians while maintaining adjustment precision
3Adaptability or versatility
If users set image quality parameters randomly without knowledge, then users can make adjustments, but the adjustments are ineffective and require constant re-adjustment
Solution Approach 1:
The system captures actual display output and compares it with standard parameters to provide data-driven adjustment recommendations, replacing random guessing with informed, effective parameter settings
Solution Approach 2:
The system replaces manual trial-and-error adjustment with automated image analysis and algorithmic parameter determination, substituting user intuition with objective technical measurement
Data Source
AI summary
An image quality adjusting method and apparatus, a device, and a storage medium are disclosed. An original image quality parameter value of a target image played by a display device connected to a mobile terminal is determined, a target image quality parameter value is determined according to a preset standard parameter value and the original image quality parameter value, the target image quality parameter value is sent to the display device, and thus the display device automatically adjusts the image quality of the target image according to the target image quality parameter value, without manually adjusting, by a user, an image quality parameter value of a television. The convenience in image quality adjustment of a display device is improved.