Back Light Brightness Control via Histogram Analysis
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Solution Overview
Problem
Conventional liquid crystal displays face challenges in displaying dynamic and fresh images due to a constant back light brightness that does not correspond with the input data, making it difficult to achieve distinct contrast between brightness and darkness.
Innovation Solution
A method and apparatus that divide gray levels into multiple brightness areas, convert input data into brightness components, and control the back light brightness based on the most-frequent or average value extracted from a histogram, allowing for different brightness levels for each area to enhance image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the back light brightness is kept constant, then the structure is simple and stable, but the image contrast and vividness deteriorate
Solution Approach 1:
The patent applies dynamics by transitioning from a static constant back light brightness to a dynamic brightness that automatically adjusts according to the histogram analysis of input data. The back light controller modifies brightness levels in real-time based on the distribution of gray levels detected in the image data, making the illumination adaptive to content requirements.
Solution Approach 2:
The patent implements feedback through the histogram analysis mechanism that continuously monitors the distribution of gray levels in input data and uses this information to control the back light brightness. The system creates a closed-loop control where the output (brightness) is adjusted based on feedback from analyzing the input data characteristics.
2Illumination intensity
If the back light brightness is adjusted frequently to match input data, then the image contrast improves, but brightness stability deteriorates due to sparkling
Solution Approach 1:
The patent applies partial action by adjusting the back light brightness only partially and selectively based on the histogram analysis results. Instead of frequent full adjustments that cause sparkling, the system makes controlled brightness changes only when the histogram distribution warrants it, maintaining stability while still improving contrast.
Solution Approach 2:
The patent implements preliminary action by analyzing the histogram of input data in advance before adjusting the back light brightness. This preliminary analysis allows the system to predict appropriate brightness levels and make smooth transitions, preventing sudden changes that would cause sparkling and instability.
3Illumination intensity
If the back light brightness is increased to display vivid images, then the image quality improves, but energy consumption increases
Solution Approach 1:
The patent applies parameter changes by dynamically modifying the back light brightness parameter based on the histogram analysis of input data. The system adjusts the brightness parameter to match the content requirements - using higher brightness only when necessary for vivid images and lower brightness when the content allows, thereby optimizing energy consumption.
Solution Approach 2:
The patent uses dynamics to make the back light brightness adaptive rather than static. The brightness level changes dynamically according to the distribution of gray levels in the input data, allowing the system to consume energy efficiently by maintaining higher brightness only when the image content requires it for vivid display.
Data Source
AI summary
A driving method and apparatus for a liquid crystal display stabilizing variations in the brightness of a back light dependent upon brightness components extracted from data to be displayed are disclosed. In the method, the brightness components of each frame are arranged into a histogram, which is divided into a plurality of brightness areas. The most-frequent value of the brightness components or the average value of the brightness components is extracted. The brightness of a back light is controlled to correspond to the brightness areas to which the extracted most-frequent value or the average value belongs. One or more particular areas within the brightness areas are selected such that if the extracted most-frequent value or the average value belongs to the particular areas, the brightness of the back light may not be changed in successive frames.