Display Panel Brightness Mapping from Blurred Pixel Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-resolution LED and OLED display panels face challenges in brightness non-uniformity due to pixel density and panel size increases, making conventional brightness detection methods costly and time-consuming, especially with blurry images from adjacent pixel interference.
Innovation Solution
A method involving pixel positioning and image processing techniques, such as deconvolution or neural networks, to restore brightness information from a single test image, eliminating the need for ultra-high resolution cameras and multiple captures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional brightness detection methods are used on high-resolution LED/OLED display panels, then brightness non-uniformity can be detected, but the process becomes costly and time-consuming with blurry images from adjacent pixel interference
Solution Approach 1:
The patent divides the detection process into two stages: first capturing an image with all pixels lit up to obtain overall brightness information, then capturing images with only corner pixels lit up to obtain positioning information. This segmentation allows the system to process images more efficiently and reduces the time required for brightness detection while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary positioning by capturing images with corner pixels lit up before performing the main brightness measurement. This preliminary action establishes the spatial relationship between pixels and the camera, enabling accurate brightness measurement of individual pixels even when all pixels are lit up in the main capture, thus reducing overall detection time.
2Measurement precision
If ultra-high resolution camera is used to capture brightness information, then image clarity improves, but equipment cost increases significantly
Solution Approach 1:
The patent captures positioning information in advance by imaging only corner pixels before the main brightness measurement. This preliminary positioning allows the system to use a standard-resolution camera while still achieving accurate pixel identification and brightness measurement, eliminating the need for expensive ultra-high resolution cameras.
Solution Approach 2:
The patent introduces positioning information as an intermediary that bridges the gap between the captured image and the required brightness measurement. By first determining the spatial relationship through corner pixel imaging, the system can accurately measure brightness using standard camera resolution, avoiding the need for ultra-high resolution hardware.
3Measurement precision
If multiple pictures are captured to obtain brightness information of large splicing screen, then measurement accuracy improves, but production process burden increases
Solution Approach 1:
The patent segments the brightness detection into two functional parts: capturing overall brightness with all pixels lit up, and capturing positioning information with corner pixels lit up. This segmentation enables the system to obtain accurate brightness data for large screens in a more efficient manner, reducing the number of captures needed and improving production efficiency.
Solution Approach 2:
The patent performs preliminary positioning capture with corner pixels lit up before the main brightness measurement. This preliminary action establishes the spatial framework once, allowing subsequent brightness measurements to be more efficient and accurate, thereby reducing the overall burden on the production process.
Data Source
AI summary
A method of obtaining brightness information of a display panel having a plurality of pixels includes steps of: obtaining positioning information indicating positions of the plurality of pixels on a test picture; lighting up the plurality of pixels and capturing the test picture; measuring the plurality of pixels according to the positioning information, to obtain a light intensity distribution of each of the plurality of pixels in the test picture; and calculating the brightness information of each of the plurality of pixels according to the light intensity distribution.