Curved Display Light Leakage Control via Histogram Analysis
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Solution Overview
Problem
Display devices with curved screens experience light leakage, leading to unstable picture quality, particularly at edge portions where light leakage occurs, causing degradation in image clarity and viewer experience.
Innovation Solution
A method and digital device that analyze a histogram of a partial display area to determine if the pixel distribution ratio of minimum gray level pixels exceeds a reference ratio, and adjust the luminance of that area to black to prevent light leakage, while also categorizing content with minimal gray level changes for display at affected areas to maintain picture stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a curved screen is used to enable flexible display modes, then adaptability is improved, but light leakage occurs at edge portions causing picture quality degradation
Solution Approach 1:
The patent applies local quality by dividing the display screen into multiple luminance zones (first luminance zone, second luminance zone, third luminance zone) with different brightness characteristics. The edge portions where light leakage occurs are assigned different luminance values than the center portion, allowing local optimization to compensate for the light leakage effect while maintaining the curved screen's flexible display capability
Solution Approach 2:
The patent changes the luminance parameter locally across different zones of the display screen. By adjusting the luminance values in edge portions relative to the center portion based on histogram analysis and pixel distribution ratios, the system compensates for light leakage effects without altering the physical curved screen structure, thus maintaining adaptability while eliminating the harmful light leakage effect
2Object-affected harmful factors
If luminance is adjusted in partial areas to eliminate light leakage, then picture quality is improved, but device complexity increases due to histogram analysis and multi-zone control
Solution Approach 1:
The controller automatically performs histogram analysis on the displayed image and self-determines the optimal luminance distribution across different zones based on pixel distribution ratios. The system serves itself by autonomously adjusting luminance parameters without requiring external intervention or complex manual calibration, thereby improving picture quality while keeping the control mechanism relatively simple and self-regulating
Data Source
AI summary
A method for controlling a digital device, and which includes receiving content; displaying the received content on a display screen of the digital device; calculating, via a controller of the digital device, an average luminance value respective to an entire display screen where the received content is displayed; generating, via the controller, a histogram respective to a partial area of the entire display screen; analyzing, via the controller, the histogram respective to the partial area and verifying whether or not a pixel distribution ratio of pixels having a minimum gray level, among pixels being located in the partial area of the display screen, is equal to or greater than a reference ratio; and if the pixel distribution ratio of pixels having the minimum gray level is equal to or greater than the reference ratio, processing a luminance of the partial area of the display screen to be black.