Gamma Data Generator for LCD Moving Artifact Reduction
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Solution Overview
Problem
Liquid crystal display (LCD) panels face limitations in side visibility due to their non-self-emissive nature and limited ability to emit light, leading to artifacts like Checker defects when objects move, which are exacerbated by moving directions and speeds.
Innovation Solution
A gamma data generator that extracts moving vectors from input images and applies spatiotemporal sequential patterns to generate high and low gamma data, converting it into data voltage to improve display quality by reducing or removing moving artifacts through both time and space division methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If multi-domain technique is used to improve side visibility, then side visibility is improved, but moving artifacts like Checker defects occur
Solution Approach 1:
The patent applies dynamics by making the gamma curve selection dynamic rather than static. The system extracts moving vectors from input images and adjusts the gamma curve selection based on moving direction and speed, allowing the display to adapt to motion conditions. This dynamic adjustment reduces moving artifacts while maintaining the multi-domain technique's side visibility improvement.
Solution Approach 2:
The patent changes the gamma curve parameter based on motion characteristics. By selecting between different gamma curves (first gamma curve for reducing moving artifacts, second gamma curve for other conditions) according to extracted moving vectors, the system optimizes display quality for moving images while preserving the benefits of multi-domain display.
2Object-affected harmful factors
If gamma data is optimized for reducing moving artifacts, then moving artifact reduction is achieved, but display quality for static images may be compromised
Solution Approach 1:
The system dynamically selects gamma curves based on whether motion is detected and its characteristics. For static or low-motion images, the second gamma curve maintains optimal display quality. For moving images with specific directions and speeds, the first gamma curve reduces artifacts. This dynamic switching ensures both moving artifact reduction and display quality are optimized according to content.
Solution Approach 2:
The patent applies different gamma curves to different spatial and temporal regions of the display based on local motion characteristics. By extracting moving vectors and analyzing motion patterns in different areas and time frames, the system applies the appropriate gamma curve locally, ensuring optimal quality for each region rather than using a single global setting.
3Object-affected harmful factors
If spatiotemporal sequential patterns are applied to reduce moving artifacts, then moving artifact reduction is improved, but device complexity increases
Solution Approach 1:
The patent segments the gamma data generation process into distinct components: moving vector extraction, motion pattern analysis, and selective gamma curve application. By dividing the processing into these manageable segments with clear functions, the system reduces moving artifacts through systematic analysis while keeping the overall device complexity manageable through modular architecture.
Data Source
AI summary
A display apparatus includes a display panel comprising a data line, a gate line crossing the data line and a sub pixel connected to the data line and the gate line, a moving vector extractor configured to extract a moving vector of an input image using input data, a data generator configured to generate data of a high gamma curve called “high data” and data of a low gamma curve called “low data” corresponding to the input data using a spatiotemporal sequential pattern based on moving direction and moving speed of the moving vector, and a data driver circuit configured to covert the high data and the low data of the input data into a data voltage and provide the data line with the data voltage.