Display Image Correction via Derivative-Based Intensity Adjustment
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Solution Overview
Problem
Mass-produced display panels often exhibit variations in driving characteristics, leading to inconsistent image display across different regions of the same gray scale values, necessitating individual adjustments to ensure accurate image representation.
Innovation Solution
An image processing device and method that performs real-time correction of image frames using single image frames without a contour detection process, utilizing correction amount and direction values calculated from derivative values to generate a de-blurring image frame, ensuring consistent image display across the display surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If individual adjustment is performed to correct display variations, then image consistency is improved, but processing time and complexity increase
Solution Approach 1:
The patent pre-calculates and stores correction values in a lookup table during manufacturing or initialization. These correction values are derived from derivative calculations (first derivative for correction amount, second derivative for correction direction) but are prepared in advance. During real-time operation, the system simply retrieves pre-computed correction values based on detected gray level variations, avoiding time-consuming real-time derivative calculations while maintaining correction accuracy.
Solution Approach 2:
The system performs self-correction by automatically detecting gray level variations and applying appropriate corrections using pre-stored correction values. The correction process is autonomous, requiring no manual intervention or complex real-time computation, thus reducing processing time while maintaining image consistency across the display surface.
2Measurement precision
If contour detection process is used to identify display variations, then correction accuracy is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent extracts only the essential information needed for correction by directly analyzing gray level variations at pixel boundaries without performing full contour detection. Instead of detecting complete contours and their properties, the system extracts gray level difference information and uses derivative calculations to determine correction parameters, simplifying the processing while maintaining accuracy.
Solution Approach 2:
The patent replaces complex mechanical or algorithmic contour detection systems with a mathematical approach using derivative calculations. By using first and second derivatives of gray level values, the system directly computes correction amounts and directions without needing complex contour detection algorithms, reducing computational complexity while preserving correction precision.
3Productivity
If real-time correction is performed without pre-processing, then productivity is improved, but correction precision may deteriorate
Solution Approach 1:
The system performs preliminary computation of correction values and stores them in lookup tables during initialization or manufacturing. During real-time operation, it quickly retrieves these pre-computed values based on detected gray level variations, achieving both real-time processing speed and high correction precision without requiring complex real-time calculations.
Data Source
AI summary
An image processing device for a mass produced display device includes an image obtaining capture to provide a single image frame including intensity values for respective coordinates of a display surface of the display device, and an image correcting unit to correct the intensity values of the single image frame of the display surface by using correction amount values with the corresponding correction direction values to provide a de-blurring image frame for the display surface, wherein the image correcting unit includes a correction amount calculating unit to calculate the correction amount values for the respective coordinates by using first derivative values with respect to the intensity values of the single image frame, and a correction direction calculating unit to calculate the correction direction values for the respective coordinates by using second derivative values with respect to the intensity values of the single image frame.