Display Panel Area Brightness Control via Grayscale Segmentation
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Solution Overview
Problem
Conventional liquid crystal display (LCD) systems use a single backlight source, limiting dynamic range per pixel to 256 levels, which restricts the ability to individually control pixel brightness and enhance image quality based on image characteristics.
Innovation Solution
A display apparatus and method that divide images into areas based on grayscale characteristics, applying different gamma tables to adjust pixel brightness, allowing for individual control of brightness levels in each area, and optionally subdividing areas based on pixel distribution to optimize brightness mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single backlight source is used to illuminate the entire display, then the structure is simple and cost-effective, but the dynamic range per pixel is limited to 256 levels and individual pixel brightness control is not possible
Solution Approach 1:
The patent segments the image into multiple areas based on grayscale characteristics and applies different gamma tables to each area. This segmentation approach enables independent brightness control for different regions of the display, transforming a uniform backlight system into one with localized brightness adjustment capabilities without requiring physical segmentation of the backlight itself.
Solution Approach 2:
The patent implements local quality by applying different gamma tables to different areas of the display based on their grayscale characteristics. Each area receives a customized gamma table that optimizes its brightness output, allowing high grayscale areas to use gamma tables with higher minimum brightness levels while low grayscale areas use gamma tables with lower minimum brightness levels, thereby achieving localized brightness optimization.
2Device complexity
If uniform brightness control is applied to all pixels, then the control system is simple, but image quality cannot be enhanced based on image characteristics
Solution Approach 1:
The patent applies preliminary action by pre-dividing the image into multiple areas based on grayscale characteristics before displaying. The processor analyzes the grayscale distribution and creates area divisions in advance, then applies appropriate gamma tables to each area. This preliminary segmentation and gamma table assignment enables optimized brightness control without requiring complex real-time adjustments during display.
Solution Approach 2:
The patent utilizes parameter changes by varying the gamma table parameters (minimum brightness level, maximum brightness level) according to the grayscale characteristics of different image areas. By changing these parameters based on local grayscale distribution, the system achieves enhanced image quality with nuanced brightness control across different regions.
3Measurement precision
If the entire grayscale section is divided into multiple grayscale sections, then the brightness control precision is improved, but the processing complexity increases
Solution Approach 1:
The patent applies partial action by dividing only the necessary grayscale sections into multiple sub-areas based on the actual grayscale distribution in the image. Rather than uniformly dividing all 256 grayscale levels, the system identifies regions where grayscale variation warrants separate control and applies gamma table adjustments only to those specific areas, thereby achieving precision without excessive processing complexity.
Data Source
AI summary
A display apparatus is provided. The display apparatus includes: an image inputter configured to receive an image; a display panel comprising a plurality of pixels; a panel driver configured to drive the plurality of pixels of the display panel on a pixel basis to display the image; and a processor configured to divide the image into a plurality of areas based on a grayscale characteristic of the image, and control the panel driver to individually adjust brightness of at least one of the plurality of areas.