Image Quality Configuration Apparatus for Automatic Display Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to automatically adjust image quality settings for different applications on electronic devices, requiring manual user intervention and not accounting for image quality optimization, especially in 3D image processing.
Innovation Solution
An apparatus and method that detects application access or file type access, automatically configuring the display system's image quality settings based on stored profiles, adjusting parameters like anti-aliasing and anisotropic filtering, without user interaction, to provide optimal image quality for specific applications or file types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of image quality settings is implemented, then image quality can be optimized for specific applications, but user time and effort are consumed for repeated adjustments
Solution Approach 1:
The system automatically detects the running application and self-adjusts image quality settings without user intervention. The image quality configuration logic monitors application execution and autonomously selects optimal settings from stored profiles, eliminating the need for manual user adjustment while maintaining optimized image quality for each application type.
Solution Approach 2:
Optimal image quality settings for different application types are pre-configured and stored in memory before runtime. When an application is detected, the system retrieves the pre-prepared profile matching that application, enabling instant deployment of optimized settings without real-time user input or complex processing during application execution.
2Productivity
If automatic application detection and settings adjustment is implemented, then user time is saved, but system complexity increases
Solution Approach 1:
An image quality configuration logic acts as an intermediary layer between the application execution environment and the display system. This mediator component monitors application running status, matches detected applications against stored profiles, and automatically configures appropriate image quality settings, thereby implementing automation without requiring complex integration across the entire system architecture.
Solution Approach 2:
The solution segments the image quality management function into a separate, dedicated logic module that operates independently. This segmented approach isolates the automation complexity into a specific component responsible only for application detection and profile matching, leaving the rest of the system architecture unchanged and manageable.
3Manufacturing precision
If comprehensive image quality parameters are adjusted, then visual fidelity is enhanced, but processing overhead increases
Solution Approach 1:
Different image quality parameters are selectively adjusted based on the specific application type detected. Rather than uniformly optimizing all image quality settings for every application, the system applies targeted parameter adjustments specific to each application's requirements, thereby enhancing visual fidelity where needed while minimizing unnecessary processing overhead for parameters that do not impact that particular application's display quality.
Data Source
AI summary
A method includes detecting one of an application access or a file type access, and configuring, in response to detecting the application or file type access, automatically without user interaction, a display system in an image quality configuration for the application or the file type where the image quality configuration is based on providing best image quality with respect to the application or the file type. Configuring the display system in an image quality configuration, may involve determining that a profile associated with the application or associated with the file type is stored in memory, and configuring the display system according to the profile. The method may adjust at least one anti-aliasing parameter or at least one anisotropic filter parameter. The method may monitor an operating system to obtain an indication that an application has been accessed or that a file type has been accessed.