Regional Overdrive Weighting Mask for LCD Response Speed
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Solution Overview
Problem
Current overdrive methods for liquid crystal display (LCD) panels require significant memory space and computational resources due to the need for a large overdrive lookup table and frame memory to process every pixel, which is inefficient and affects image quality, especially since human eyes are more sensitive to central vision areas.
Innovation Solution
A regional overdrive method that uses a weighting mask with varying weighting parameters to determine the degree of overdrive for each pixel, focusing on the central vision area where human sensitivity is highest, reducing memory and computational requirements by only processing and storing data for this region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If overdrive operation is applied to every pixel in the entire image frame, then the response speed of liquid crystals is improved, but the memory space and computational resources are significantly increased
Solution Approach 1:
The patent applies local quality by differentiating the overdrive treatment based on the central vision area versus peripheral vision area. The weighting mask assigns higher weights to central pixels and lower weights to peripheral pixels, making the system adapt its behavior locally according to human visual sensitivity characteristics.
Solution Approach 2:
The patent segments the image frame into a central vision area and a peripheral vision area based on the weighting mask. This segmentation allows the system to apply overdrive operations selectively to different regions, reducing the overall computational burden while maintaining effectiveness in the central area where human eyes are most sensitive.
2Manufacturing precision
If a large overdrive lookup table and frame memory are used to process every pixel, then the overdrive operation can be performed accurately, but the device complexity and resource consumption are increased
Solution Approach 1:
The patent applies partial action by performing overdrive operations only on the central vision area where human eyes are most sensitive, rather than processing every pixel in the entire image frame. This selective approach reduces the required memory space and computational resources while maintaining adequate accuracy for the critical central region.
Solution Approach 2:
The patent changes the parameter of overdrive application from uniform (all pixels) to non-uniform (weighting-based). By introducing a weighting mask with varying weight values, the system dynamically adjusts the degree of overdrive for different pixels, optimizing the balance between accuracy and resource consumption.
3Reliability
If overdrive operation is applied uniformly to the entire image frame, then consistent response speed improvement is achieved, but image quality is compromised in peripheral areas and resources are wasted
Solution Approach 1:
The patent implements local quality by applying different overdrive strategies to different spatial locations. The weighting mask ensures that central pixels receive stronger overdrive treatment while peripheral pixels receive reduced treatment, matching human visual sensitivity patterns and improving overall image quality.
Solution Approach 2:
The patent introduces dynamics by making the overdrive strength variable rather than fixed. The weighting mask creates a dynamic weighting scheme where the degree of overdrive adapts to the spatial position and human visual sensitivity, optimizing both image quality and resource efficiency.
Data Source
AI summary
A method of handling overdrive for image data includes the steps of: receiving a current image data and a previous image data; obtaining an overdrive image data by finding an overdrive lookup table according to the current image data and the previous image data; generating a weighting mask comprising a plurality of weighting parameters; calculating an output image data by combining the overdrive image data with the current image data according to one of the weighting parameters corresponding to a pixel of the current image data; and outputting the output image data to the pixel.