OLED Brightness Adjustment by Block for Dark-Detail Retention
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Solution Overview
Problem
Existing luminance adjustment systems for OLED displays reduce overall image luminance and contrast for high luminance contrast images, leading to loss of details in darker parts and reduced display quality.
Innovation Solution
A luminance adjustment system that divides images into blocks, using luminance representative values and edge information to perform individual adjustments, maintaining details in darker areas and enhancing luminance adjustments in complex regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If overall luminance is reduced by adjusting data signal, gamma voltage, or OLED voltage to address high luminance intensity, then OLED power consumption is reduced and ageing is slowed, but image contrast is reduced and details in darker parts are lost
Solution Approach 1:
The image is divided into multiple blocks, and each block is processed independently based on its local luminance characteristics. This allows different luminance adjustment strategies to be applied to different regions, preventing uniform reduction that would harm dark area details while still managing overall OLED stress and power consumption.
Solution Approach 2:
Different luminance adjustment parameters are applied to different blocks based on their local characteristics (average luminance, edge information, contrast). Blocks with dark areas and high contrast maintain their luminance to preserve details, while other blocks may have reduced luminance to manage power consumption and OLED ageing.
2Use of energy by moving object
If overall luminance is reduced to manage power consumption, then energy savings are achieved, but display quality and contrast are degraded
Solution Approach 1:
The display area is segmented into blocks that are independently controlled. This enables selective power management where only blocks that can tolerate luminance reduction actually reduce their brightness, while blocks containing important visual information maintain full luminance to preserve display quality.
Solution Approach 2:
The luminance adjustment is dynamic and adaptive, using edge detection and local contrast analysis to determine the optimal luminance level for each block. This dynamic approach allows the system to maintain high display quality when needed while reducing power consumption in appropriate situations.
Data Source
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AI summary
A brightness adjustment system, comprising a block dividing module (1), a representative brightness value calculation module (2), an edge information extraction module (3), an adjustment gain calculation module (4), a gain smoothing processing module (5), and a data modulation module (6). By dividing an image into blocks (D), and combining the brightness representative values and edge information amounts characterizing image complexity of the blocks (D), the brightness adjustment system performs independent brightness adjustment for each block (D), thus enabling precise brightness adjustment, lowering the brightness of a bright image portion while retaining details in a dark image portion, and providing flexible brightness adjustment for complex image blocks (D).