High-Frequency Component Detection in LCD Color Shift Compensation
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Solution Overview
Problem
Existing liquid crystal display technologies face issues with color shift at large viewing angles and limited detection of high-frequency components, leading to reduced display quality due to the grainy appearance caused by the color shift compensation algorithm.
Innovation Solution
A method and apparatus for detecting high-frequency components in images by calculating grayscale differences between image pixels and their surrounding pixels, using a target grayscale difference algorithm to determine if a pixel is high-frequency, and adjusting its grayscale value to reduce color shift defects, thereby improving display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If color shift compensation algorithm is applied to reduce color cast at large viewing angles, then color accuracy is improved, but high-frequency components appear grainy resulting in reduced display quality
Solution Approach 1:
The patent applies different processing strategies to different regions of the image based on local characteristics. By detecting high-frequency components in specific local regions and identifying them as edge or texture areas, the system selectively adjusts grayscale values only where necessary, maintaining color accuracy in compensation regions while preserving natural appearance in high-frequency regions.
Solution Approach 2:
The patent dynamically changes grayscale parameters based on the detected frequency characteristics of image regions. By calculating grayscale differences between adjacent pixels and comparing them against thresholds, the system adjusts the grayscale values of high-frequency components to reduce the grainy appearance while maintaining overall color shift compensation effectiveness.
2Speed
If detection range of high-frequency components is limited to adjacent pixels only, then detection speed is improved, but detection precision is reduced leading to poor display quality
Solution Approach 1:
The patent segments the detection process into multiple hierarchical levels. First, adjacent pixels are detected for basic high-frequency identification. Then, for pixels identified as potentially high-frequency, the detection is expanded to include second-layer adjacent pixels. This segmented approach balances detection speed with improved precision by only performing extended detection where necessary.
Solution Approach 2:
The patent applies partial detection action by performing full multi-layer detection only on pixels that show initial high-frequency characteristics in the first layer. For other pixels, detection is limited to the minimum necessary scope. This selective application of detection depth optimizes the balance between detection speed and precision.
Data Source
AI summary
The present disclosure provides a method and an apparatus of detecting high-frequency components in an image. The method using a first grayscale difference, a second grayscale difference to calculate the target grayscale difference with the target grayscale difference algorithm, comparing the target grayscale difference with a preset grayscale threshold value to determine whether the image pixel to be detected is a high-frequency image pixel, and adjusting the actual grayscale value of the high-frequency image pixel to reduce the difference between the actual grayscale value of the high-frequency image pixel and the original grayscale value. It can optimize the detection process of high-frequency components in the image and improve the poor display caused by the color shift compensation algorithm to improve the display quality.