Backlight Brightness Processing for VR Displays
Solution Overview
Problem
In liquid crystal display devices, maintaining consistent backlight brightness affects image saturation and contrast, while high energy consumption by the backlight source increases power usage, necessitating a method to reduce power consumption and enhance display quality.
Innovation Solution
A backlight brightness processing method that calculates average brightness values of local regions in a rendering engine, adjusting backlight brightness dynamically based on these values to improve contrast and reduce energy consumption, implemented without additional hardware, suitable for real-time data processing in virtual reality applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If backlight brightness is maintained at high level to ensure image saturation and contrast, then display quality is improved, but power consumption increases
Solution Approach 1:
The display screen is divided into multiple local regions, and the backlight is segmented into corresponding independent control units. Each region's backlight brightness is controlled separately based on its specific brightness requirements, rather than uniformly controlling the entire screen. This segmentation enables localized brightness adjustment, reducing overall power consumption while maintaining display quality in critical areas.
Solution Approach 2:
Different brightness levels are applied to different local regions of the display screen based on their specific needs. Regions requiring high brightness for image saturation and contrast are provided with higher backlight intensity, while other regions use lower brightness levels. This local quality approach optimizes the balance between display quality and power consumption.
2Device complexity
If uniform backlight brightness is applied across the entire display, then implementation is simple, but image contrast and saturation are reduced
Solution Approach 1:
The backlight system is segmented into multiple independently controllable units corresponding to different local regions of the display. This segmentation enables differential brightness control across regions, improving image contrast and saturation by providing appropriate brightness levels to each region based on its content requirements.
Solution Approach 2:
The backlight brightness is dynamically adjusted for each local region based on real-time image brightness analysis. The system continuously monitors the brightness characteristics of different regions and adjusts the backlight intensity accordingly, transforming the static uniform backlight into a dynamic adaptive system that enhances contrast while managing complexity through algorithmic control.
Data Source
AI summary
An image processing method, a backlight brightness adjustment method, an image processing system, and a computer readable storage medium are provided. The image processing method includes: acquiring a display image; dividing the display image to obtain one or more initial local regions; calculating an average brightness value of each of the one or more initial local regions respectively; acquiring an output image according to the average brightness value of each of the one or more initial local regions and the display image.