Display Controller Pattern Analysis for Time-Division Driving
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Solution Overview
Problem
Display devices employing a time-division driving scheme experience picture distortion issues such as pseudo contour and color separation due to disruptive patterns, particularly when displaying images like the 1-dot pattern, which causes uneven luminance and color separation across fields.
Innovation Solution
A display device and method that includes a controller to analyze input data patterns, determining if they are normal or abnormal, and using a data alignment method to generate output data for each field, thereby preventing picture distortion by rearranging data for fields to ensure uniform color distribution and luminance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a time-division driving scheme is used to display images in separate fields, then the display can be updated efficiently with divided data streams, but picture distortion occurs due to disruptive patterns causing uneven luminance and color separation
Solution Approach 1:
The controller performs preliminary analysis of the input image data to detect disruptive patterns before data is written to the display panel. Based on this advance detection, the controller pre-processes the data by reorganizing pixel groups and adjusting field division to prevent picture distortion, rather than correcting it after display. This preliminary intervention maintains both efficient time-division driving and high image quality.
2Device complexity
If input data is directly divided into fields for time-division driving, then data processing is simple and fast, but disruptive patterns cause pseudo contour and color separation artifacts
Solution Approach 1:
The controller implements a feedback mechanism where the input image data is analyzed to detect disruptive patterns, and this analysis feedback dynamically adjusts the data division and field assignment strategy. When disruptive patterns are detected, the controller modifies how pixels are grouped and distributed across fields, creating an adaptive processing pathway that maintains image quality without requiring completely complex processing architecture.
3Productivity
If pixels are grouped into at least two groups for time-division driving, then data can be written to different fields simultaneously improving throughput, but disruptive patterns cause picture distortion due to improper pixel grouping
Solution Approach 1:
The controller applies local quality adjustment by analyzing the input image data and creating different pixel grouping strategies for different regions or types of content. When disruptive patterns are detected in specific areas, the controller locally modifies the pixel group composition and field assignment for those regions, while maintaining efficient time-division driving for other areas. This localized adaptation ensures display accuracy is maintained where needed without sacrificing overall throughput.
Data Source
AI summary
A display device is disclosed. In one aspect, the display device includes a display panel for displaying an image in at least two separate fields during a frame, a panel driver configured to transmit output data for each field corresponding to the at least two fields and drive the display panel according to each field, and a controller configured to analyze an image pattern corresponding to input data, and generate the output data for each field from the input data according to an analysis result of the pattern, or extract each field data from the input data according to a predetermined data alignment method and generate the output data for each field by using the field data.