Timing Controller LUT Segmentation to Prevent Tri-Gate Image Distortion
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Solution Overview
Problem
Existing LCD technologies face challenges in maintaining image quality, particularly in preventing image distortion and ensuring optimal contrast and color saturation, especially in tri-gate panel architectures where contour phenomena occur due to insufficient charging.
Innovation Solution
A timing controller with an image adjustment circuit that utilizes a combination of general and clip ACC lookup tables, along with a weight table, to adjust sub-pixel values based on feature values, ensuring smooth transitions and maintaining image quality by avoiding color deviation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single ACC lookup table is used for color adjustment, then the adjustment process is simple, but image distortion and contour phenomena occur due to insufficient charging in tri-gate panel architectures
Solution Approach 1:
The patent divides the single ACC lookup table into two separate lookup tables: a first ACC lookup table for handling certain pixel conditions and a second ACC lookup table for other pixel conditions. This segmentation allows different color adjustment strategies to be applied to different pixel types, preventing image distortion and contour phenomena while maintaining manufacturing precision.
Solution Approach 2:
The patent applies different color adjustment characteristics to different regions or types of pixels by selecting between the first and second ACC lookup tables based on pixel feature values. This local quality approach ensures that each pixel region receives the appropriate adjustment treatment, improving overall image quality while managing device complexity.
2Quantity of substance
If sub-pixel values are adjusted aggressively to improve color saturation, then color vibrancy increases, but image distortion and contour phenomena worsen
Solution Approach 1:
The patent incorporates feedback mechanisms by comparing pixel feature values against threshold values to determine which lookup table to use. This feedback loop ensures that color saturation adjustment is applied selectively and appropriately, preventing over-adjustment that would cause image distortion and contour phenomena while maintaining vibrant colors.
Solution Approach 2:
The patent changes the adjustment parameters by switching between different ACC lookup tables based on pixel characteristics. This parameter change approach allows the system to adapt the degree and type of color saturation adjustment to match the specific pixel conditions, improving color vibrancy without introducing distortion.
3Manufacturing precision
If multiple ACC lookup tables are implemented to prevent image distortion, then image quality improves, but the complexity of the timing controller increases
Solution Approach 1:
The patent performs preliminary classification of pixels into different groups based on their feature values before applying color adjustment. This preliminary action organizes the data structure and determines which lookup table to use in advance, making the implementation of multiple lookup tables more manageable and reducing the operational complexity of the timing controller.
Solution Approach 2:
The patent introduces dynamic selection between different ACC lookup tables based on real-time pixel feature analysis. This dynamic approach allows the system to adaptively choose the most appropriate lookup table for each pixel, improving image quality while managing complexity through intelligent, condition-based selection rather than static multi-table implementation.
Data Source
AI summary
A timing controller for executing an image adjustment method is provided. The timing controller includes an image adjustment circuit including a feature extraction module, configured to obtain a first feature value of a pixel according to a sub-pixel value of the pixel; a look-up table module, coupled to the feature extraction module, configured to obtain a first sub-pixel value of the pixel according to a first lookup table and obtain a second sub-pixel value of the pixel according to a second lookup table; and a color adjustment module, coupled to the feature extraction module and the look-up table module, configured to compare the first feature value with a first threshold, and correspondingly adjust the sub-pixel value of the pixel according to the first sub-pixel value and the second sub-pixel value.