Display Backlight Control for Higher Dynamic Range Images
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Solution Overview
Problem
Display devices cannot fully replicate the high-dynamic range of the real world due to a smaller brightness range compared to human eyes, leading to inadequate image representation.
Innovation Solution
An image display method that enhances the dynamic range by determining a highlight area in an image and adjusting backlight brightness to compensate for reduced brightness in non-highlight areas, using techniques such as image semantic recognition, algorithm models, and histogram analysis to improve contrast.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the display brightness range is increased to match human eye dynamic range, then the dynamic range of image display is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The image is segmented into highlight areas and non-highlight areas based on brightness thresholds. Different processing strategies are applied to each segment: highlight areas maintain original brightness while non-highlight areas have reduced brightness. This segmentation allows the display to simulate HDR效果 using standard display hardware, resolving the contradiction between achieving high dynamic range and avoiding increased device complexity.
Solution Approach 2:
Different brightness characteristics are applied to different regions of the image. Highlight areas (bright regions) maintain their original high brightness values, while non-highlight areas (dark regions) have their brightness reduced. This local differentiation creates the perception of extended dynamic range without requiring the display hardware to support the full brightness range, thus avoiding increased device complexity.
2Illumination intensity
If the brightness of non-highlight areas is reduced to enhance contrast, then the brightness contrast between highlight and non-highlight areas is improved, but the visibility of dark region details may deteriorate
Solution Approach 1:
Backlight brightness is introduced as an intermediary mechanism to compensate for the reduced brightness in non-highlight areas. When non-highlight area brightness is reduced to enhance contrast, the backlight brightness is simultaneously adjusted to ensure that dark region details remain visible. This intermediary compensation resolves the contradiction between enhancing brightness contrast and preserving detail information in dark regions.
3Measurement precision
If algorithm models and image processing are used to determine highlight areas, then the accuracy of highlight area identification is improved, but the processing time and computational resources increase
Solution Approach 1:
Instead of processing the entire image with complex algorithms, only the highlight areas are identified and processed. The method uses simplified threshold-based detection for highlight area identification rather than applying full-image semantic recognition or complex algorithm models. This partial action approach maintains sufficient accuracy for highlight detection while significantly reducing processing time and computational resources.
Data Source
AI summary
An image display method and an electronic device increase a dynamic range of image display. After determining a to-be-displayed first image, the electronic device determines a highlight area of the first image and backlight brightness information of a display based on image content or a histogram of the first image, reduces brightness of a non-highlight area of the first image and keeps brightness of the highlight area unchanged to obtain a second image, adjusts backlight brightness of the display based on the backlight brightness information, and then displays the second image on the display.