Data Conversion Device Compressing Pixel Components
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Solution Overview
Problem
Existing data conversion methods for improving display device response speed, such as overdrive mode driving, result in significant hardware size requirements and decreased display quality due to data compression, leading to quantization errors and after-image issues.
Innovation Solution
A data conversion device that compresses data by replacing pixel components with weighted alternative values, stored in a frame memory, and then restores them to minimize data deviation and maintain display quality, using a combination of luminance and color difference signals to achieve high compression ratios without degrading image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is compressed by replacing pixel components with alternative values, then frame memory capacity is reduced, but display quality deteriorates due to quantization errors
Solution Approach 1:
The patent changes the parameter representation by converting RGB data to YCbCr color space, where Y represents luminance and CbCr represent color difference. This transformation allows selective compression of color components while preserving luminance information, reducing quantization errors visible to human eyes and maintaining display quality while compressing data.
Solution Approach 2:
The patent applies different compression strategies to different components of the data. Luminance data (Y component) is preserved with higher precision while color difference data (CbCr components) are compressed with lower precision, since human eyes are more sensitive to luminance changes than color changes. This local quality differentiation maintains overall display quality while achieving compression.
2Speed
If overdrive mode driving is used to improve response speed, then display device response speed increases, but hardware size increases due to frame memory requirements
Solution Approach 1:
The patent transforms the data representation from full RGB to YCbCr format, enabling more efficient compression. By storing only essential luminance information at full resolution and compressing color difference information, the frame memory capacity required for overdrive mode driving is significantly reduced, thereby reducing hardware size while maintaining response speed improvement.
3Quantity of substance
If simple quantization compression is applied to RGB data, then data amount is reduced, but complicated quantization errors occur due to nonlinear response characteristics
Solution Approach 1:
The patent transforms RGB data to YCbCr color space before compression. This parameter change separates luminance (Y) from color information (CbCr), allowing the system to apply different compression levels to each component. Since human vision is more sensitive to luminance variations, preserving Y with higher precision while compressing CbCr reduces the visibility of quantization errors compared to uniform compression of all RGB channels.
Data Source
AI summary
The data conversion device of the present invention includes: a coding section for replacing (i) one or more components constituting the display data of each pixel and other one or more components constituting display data of a pixel existing around that pixel on a screen with (ii) one or more average values of both the components so as to reduce an amount of data; and a decoding section for reading out compressed data from a frame memory and then allotting the average value as display data for each corresponding pixel. Therefore, unlike a case of adopting a conventional general data compression method, the data conversion device of the present invention can prevent deviation between original display data and display data obtained by a compression/restoration process from becoming large. Further, the data conversion device of the present invention can suppress the capacity of a necessary frame memory by compression (reduction) of data, and at the same time suppress a decrease in display quality due to the compression (reduction) of data.