Residual Image Detection for OLED Displays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Organic light emitting diode (OLED) display devices suffer from residual image issues, particularly when displaying static images, which current technologies fail to effectively quantify and address.
Innovation Solution
A method and device that capture images, divide them into unit blocks, measure and transform chromatic coordinates, calculate color differences using specific weight constants, and store residual image indices in a database to analyze and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If OLED display devices continuously display the same image (such as logo, time, subtitle), then the display function is maintained, but residual images are produced and deteriorate
Solution Approach 1:
The patent applies preliminary action by measuring and quantifying residual images during the display process, storing the data in a database, and analyzing it to predict and prevent residual image formation before it becomes severe. This proactive approach allows the system to take preventive measures based on accumulated measurement data.
Solution Approach 2:
The patent implements feedback by continuously measuring residual images, storing the measurements in a database, analyzing the data to identify patterns and causes, and using this information to adjust display parameters or provide warnings. This closed-loop system enables ongoing optimization to reduce residual image formation.
2Productivity
If current technologies are used to display images, then the display function is achieved, but residual images cannot be effectively quantified and measured
Solution Approach 1:
The patent applies segmentation by dividing the displayed image into multiple unit blocks (e.g., 8x8 pixels or larger) for individual analysis. This allows precise measurement of residual images in different regions, enabling quantitative assessment of color differences, luminance variations, and spatial distribution of residual images throughout the display area.
Solution Approach 2:
The patent utilizes parameter changes by transforming color space representations (e.g., from RGB to XYZ or Lab color spaces) and adjusting measurement parameters to optimize residual image detection. The system adapts measurement parameters based on display conditions, image content, and observed residual image characteristics to achieve accurate quantification.
3Device complexity
If residual images are not analyzed and improved, then the display device operates simply, but image quality cannot be enhanced
Solution Approach 1:
The patent applies copying by creating a database of residual image measurements and characteristics. This digital copy of residual image data allows for comprehensive analysis without physically modifying the display device or requiring complex real-time adjustment mechanisms. The copied data can be stored, analyzed, and used to develop improvement strategies.
Solution Approach 2:
The patent implements preliminary action by measuring and analyzing residual images in advance, storing the data in a database, and using this information to predict and prevent severe residual image formation. This proactive approach allows for image quality enhancement without requiring complex real-time intervention systems.
Data Source
AI summary
A method for determining residual images of a display device includes: dividing an image into a plurality of unit blocks; calculating a chroma, a hue, and a lightness of each unit block; applying a filter to the plurality of unit blocks to calculate a chroma difference, a hue difference, and a lightness difference; calculating a plurality of color difference based on the chroma, hue and lightness differences between the unit block and unit blocks adjacent to the unit block, a chroma weight constant, a hue weight constant, and a lightness weight constant; and calculating residual image indices for each unit block, where a residual image index is a maximum value of the plurality of color differences between the unit block and unit blocks adjacent to the unit block. The lightness weight constant is less than the chroma weight constant and the hue weight constant.