Image Processing Apparatus Crosstalk Reduction via Segmented Correction
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Solution Overview
Problem
Existing image processing methods for active matrix liquid crystal display devices fail to adequately reduce crosstalk, particularly due to non-linear gradation changes in pixel characteristics, leading to vertical crosstalk issues.
Innovation Solution
An image processing apparatus and method that calculates and applies different correction values based on gradation values, using distinct weightings and coefficients for pixel groups with varying gradation levels, and adjusts calculations according to polarity, to effectively correct image data and reduce crosstalk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform correction is applied to all pixel groups, then the correction process is simple, but it cannot sufficiently correct non-linear gradation changes and fails to reduce crosstalk effectively
Solution Approach 1:
The patent divides pixel groups into multiple segments based on their gradation values (first pixel group with gradation ≥ first defined value, second pixel group with gradation ≤ second defined value). Each segment receives customized correction calculations with different weightings, allowing precise correction for non-linear gradation changes while maintaining manageable complexity through systematic categorization
Solution Approach 2:
The patent applies different correction weightings to different pixel groups based on their local characteristics (gradation values). First pixel groups receive correction with first weighting, while second pixel groups receive correction with second weighting. This localized correction approach addresses the non-linear gradation changes specific to each region, significantly improving crosstalk reduction effectiveness
2Manufacturing precision
If different weightings are used for different pixel groups, then crosstalk reduction effectiveness is improved, but the correction process becomes more complex
Solution Approach 1:
The patent segments pixel groups into distinct categories (first pixel group and second pixel group) based on gradation thresholds. This segmentation simplifies the complexity by providing clear boundaries and systematic rules for applying different weightings, making the complex correction process more manageable and implementable
Solution Approach 2:
The patent changes the correction weighting parameter based on the gradation value parameter of pixel groups. By dynamically adjusting the weighting parameter according to the input image data characteristics, the system achieves high correction effectiveness without requiring complex fixed-structure designs, allowing flexible adaptation to different display conditions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution significantly reduces crosstalk by reflecting the characteristics of each pixel group and adjusting for polarity changes, improving image quality by minimizing luminance differences and vertical crosstalk.
Implementation Method 1
due to the effects of the parasitic capacitance between data lines (signal lines, data signal lines, source lines and source electrode lines) and pixel electrodes
Data Source
AI summary
A driving device of a display apparatus includes a calculation unit which calculates a correction value to correct a gradation value of a pixel that is a correction target on the basis of n gradation values that corresponds to n pixels and a correction unit which corrects the gradation value of a pixel that is a correction target on the basis of the correction value and the calculation unit performs a first calculation in a case in which a gradation value among the n gradation values is included in a first range, performs a second calculation in a case in which a gradation value among the n gradation values is included in a second range, respectively performs the first calculation or the second calculation on the n gradation values, and calculates the correction value on the basis of the calculation results performed on the n gradation values.