Automated Under-Display Camera Structure Search Using PSF Metrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for optimizing display structures for under-display camera systems are manual, time-consuming, and ineffective in improving image quality, often leading to reduced resolution and viewing area due to the integration of complex front-facing camera systems.
Innovation Solution
An automated method using computing devices to iteratively optimize display structures by computing point spread functions and evaluating performance metrics, allowing for the identification of improved display structures that enhance image quality and maintain resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a front-facing camera system is integrated into a display device, then camera functionality is provided, but display resolution and viewing area are reduced
Solution Approach 1:
The camera system is positioned behind the display panel, nesting the camera within the display structure. The display panel acts as a transparent window for the camera while maintaining its display function, thus resolving the conflict between camera integration and display resolution.
Solution Approach 2:
The camera is relocated from the traditional front position to a position behind the display panel, utilizing the spatial dimension behind the display. This dimensional relocation allows both camera functionality and full display resolution to coexist without mutual compromise.
2Measurement precision
If a display structure is designed for under-display camera system, then camera image quality may be improved, but manufacturing complexity increases
Solution Approach 1:
The patent optimizes specific parameters of the display structure such as pixel pitch, sub-pixel arrangement, and transparent electrode patterns to balance image quality requirements with manufacturing feasibility. By carefully adjusting these parameters, the system achieves good image quality without excessive manufacturing complexity.
3Adaptability or versatility
If traditional manual methods are used to optimize display structure, then design flexibility is maintained, but optimization time and effectiveness are insufficient
Solution Approach 1:
The patent replaces manual iterative optimization processes with automated computational methods. Simulation models and algorithms automatically evaluate different display structure configurations, rapidly identifying optimal designs that would otherwise require extensive manual trial and error, thus reducing optimization time while maintaining design flexibility.
Data Source
AI summary
A method includes accessing a display structure for manufacturing a display panel for an under-display camera (UDC) system. The method further includes computing a point spread function (PSF) of the UDC system with the display structure and computing a metric to evaluate performance of the display structure based on the PSF. The method further includes determining that the metric does not satisfy selection criteria for using the display structure for manufacturing the display panel for the UDC system and in response to the determination, iteratively optimizing the display structure, using an automated searching process, until the metric satisfies the selection criteria. The method further includes generating an optimized display structure responsive to completion of the automated searching process. The optimized display structure is used for manufacturing the display panel for the UDC system.