Backlight Control for LCD Contrast and Distortion
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Solution Overview
Problem
Current backlight control methods for liquid crystal display screens fail to simultaneously maintain image contrast and prevent distortion, with algorithms like maximum value, average value, and square root algorithms causing issues such as regional optical crosstalk, overall image darkness, and excessive brightness in dark scenes.
Innovation Solution
A method that calculates a first backlight value for each pixel area, applies threshold-limiting to obtain second and third values, and performs backlight compensation using these values to adjust liquid crystal cells, ensuring improved contrast and reduced distortion by determining the appropriate backlight compensation based on average and variance thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the maximum value algorithm is used to determine backlight degree, then the backlight control is simplified, but regional optical crosstalk occurs causing image distortion
Solution Approach 1:
The image is divided into multiple local areas, and each area is processed independently to determine local backlight values. This segmentation approach prevents regional optical crosstalk by treating each area separately while maintaining overall image quality.
Solution Approach 2:
Different backlight values are applied to different local areas based on their specific characteristics. The patent calculates separate backlight values for each local area rather than using a single global value, ensuring optimal display quality in each region without affecting others.
2Device complexity
If the average value algorithm is used to determine backlight degree, then the calculation is simplified, but the entire image becomes darker
Solution Approach 1:
The patent applies different backlight values to different local areas based on their specific luminance characteristics. Bright areas receive higher backlight values while dark areas receive lower values, preventing overall image darkness while maintaining calculation simplicity.
Solution Approach 2:
The backlight values are dynamically adjusted for each local area based on real-time image analysis. Rather than using a fixed global average, the system adapts backlight levels locally to preserve image brightness and contrast.
3Manufacturing precision
If the square root algorithm is used to determine backlight degree, then the algorithm provides some image restoration, but the backlight brightness in dark scene areas becomes too high causing picture distortion
Solution Approach 1:
The patent calculates separate backlight values for each local area based on their specific characteristics. Dark areas are identified and given appropriate backlight values that prevent over-brightness, while still maintaining image restoration quality through local optimization.
Solution Approach 2:
The patent replaces complex global algorithms with a simpler local area-based approach. By substituting the square root algorithm's global processing with local area analysis, the system achieves similar image restoration effects without the harmful side effect of excessive brightness in dark regions.
4Ease of operation
If traditional backlight control methods are used, then the implementation is straightforward, but image contrast and distortion cannot be guaranteed simultaneously
Solution Approach 1:
The image is divided into multiple local areas that can be processed independently. This segmentation maintains implementation simplicity while improving image quality by allowing targeted optimization of contrast and distortion control in each area.
Solution Approach 2:
The patent changes the approach from global parameter control to local parameter control. By adjusting backlight values locally based on area-specific characteristics, the system achieves better contrast and distortion control without significantly complicating the implementation process.
Data Source
AI summary
Disclosed are a backlight control method, a backlight control device and a computer-readable storage medium. The backlight control method includes the following steps: acquiring each pixel of each area in an image; calculating a first backlight value based on the pixel, threshold-limiting the first backlight value, and obtaining a second backlight value subjected to threshold-limiting and a third backlight value without threshold-limiting; and sending the second backlight value to a backlight control circuit, performing backlight compensation on the image based on the third backlight value, and sending the image after backlight compensation to a liquid crystal display screen. The backlight control method calculates a backlight value to perform backlight compensation on the image, and adjusts the liquid crystal cells of the liquid crystal display screen, thereby improving the contrast and ensuring the distortion of the image, and the algorithm is simple.