Afterimage Compensation via Application Risk Ranking
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Solution Overview
Problem
Conventional afterimage compensation technologies in electronic devices consume excessive power and accumulate unnecessary data, as they sample and process image data regardless of the screen shape, leading to inefficient power usage and limited adoption due to high battery consumption.
Innovation Solution
An electronic device assigns an afterimage risk priority to each application based on its execution screen, generates afterimage data by sampling only those screens with high risk, and delivers this data to the display driver integrated circuit (DDI) for targeted afterimage prevention or compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sampling is performed regardless of the shape of execution screen, then afterimage compensation can be applied to all applications, but power consumption increases unnecessarily
Solution Approach 1:
The patent applies different sampling strategies to different applications based on their execution screen characteristics. Applications with uniform luminance regions are sampled, while those without are not sampled, creating a localized quality approach that matches compensation effort to actual need.
Solution Approach 2:
The system changes the sampling parameter (whether to sample) based on the afterimage risk priority of each application. This parameter change allows the system to adapt sampling behavior dynamically, reducing power consumption by sampling only when necessary for effective compensation.
2Reliability
If sampling is performed regardless of the shape of execution screen, then comprehensive afterimage data is collected, but the amount of accumulated data increases in proportion to display resolution and usage time
Solution Approach 1:
The patent extracts only the necessary sampling operations by identifying and processing only those applications with high afterimage risk priority. This extraction principle reduces data accumulation by eliminating unnecessary sampling of applications that do not require afterimage compensation.
Solution Approach 2:
Instead of sampling all applications equally, the system performs partial action by sampling only the subset of applications that exceed the specified afterimage risk priority threshold. This partial action approach maintains compensation accuracy for at-risk applications while avoiding unnecessary data accumulation from low-risk applications.
3Reliability
If DDI accesses processor or memory for processing sampling data at specified time intervals, then afterimage compensation is performed continuously, but device complexity increases
Solution Approach 1:
The system uses periodic action by sampling at specified time intervals, but only for applications with high afterimage risk priority. This periodic approach maintains continuous compensation for critical applications while reducing overall system complexity by not continuously sampling all applications.
Solution Approach 2:
The system dynamically adjusts sampling behavior based on application characteristics and afterimage risk priority. This dynamic approach allows the DDI to access processor or memory only when necessary, reducing operational complexity while maintaining compensation effectiveness for applications that need it.
Data Source
AI summary
Disclosed is an electronic device including a display, a display driving circuit which drives the display, and at least one processor operationally connected to the display or the display driving circuit, wherein the at least one processor gives an afterimage risk ranking to each of a plurality of applications, and, when an application given an afterimage risk ranking higher than a designated range among the plurality of applications is executed, generates afterimage data by accumulating images sampled from the execution screens of the application given the afterimage risk ranking higher than the designated range, and delivers the afterimage data to the display driving circuit. Various other embodiments that can be understood through the present specification are also possible.