Local Dimming Backlight Extraction for Power and Halo Control
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Solution Overview
Problem
Existing local dimming display technologies face challenges in maintaining image quality while reducing power consumption, handling halo effects, color distortion, and clipping artifacts, and improving computational efficiency.
Innovation Solution
A method involving separate power regularizations for different local dimming regions, using a deep neural network to determine backlight extraction values, and controlling the display based on these values to enhance image quality and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional backlight extraction algorithms are used, then power consumption is reduced, but image quality deteriorates due to halo effects, color distortion, and clipping artifacts
Solution Approach 1:
The patent segments the display into multiple local dimming regions with independently controllable backlights, allowing different power regularization strategies to be applied to different regions. This segmentation enables the system to reduce power consumption in dark regions while maintaining image quality in bright regions, thereby resolving the contradiction between power savings and image quality preservation.
Solution Approach 2:
The patent applies local quality by using separate power regularization values for different local dimming region sets. Dark regions use one power regularization value while bright regions use another, allowing each region to have optimized quality characteristics appropriate to its luminance level, thus preventing halo effects and color distortion while reducing overall power consumption.
2Manufacturing precision
If separate power regularizations are applied to different local dimming regions, then image quality is maintained, but computational complexity increases
Solution Approach 1:
The patent divides the display into a limited number of local dimming regions organized in sets, where each set shares a common power regularization value. This segmentation strategy reduces computational complexity compared to processing each pixel individually, while still maintaining image quality through region-specific optimization.
Solution Approach 2:
The patent changes the parameter approach by using a small number of discrete power regularization values assigned to different region sets rather than continuous per-pixel control. This parameter discretization simplifies the computational burden while preserving the ability to maintain image quality through differentiated regional control.
3Use of energy by moving object
If backlight suppression is applied to reduce power consumption, then energy efficiency improves, but contrast ratio and luminance maintenance deteriorate
Solution Approach 1:
The patent applies different power regularization values to different local dimming region sets based on their luminance characteristics. Dark regions receive stronger suppression for energy savings, while bright regions receive milder suppression to maintain luminance and contrast ratio, thus resolving the contradiction between energy efficiency and luminance maintenance.
Solution Approach 2:
The patent applies partial suppression action by using different degrees of power regularization for different regions. Instead of uniform suppression, it applies excessive suppression to dark regions where it's less noticeable and partial suppression to bright regions where luminance maintenance is critical, optimizing the trade-off between energy efficiency and visual quality.
Data Source
AI summary
Herein, there are provided backlight extraction techniques used for local dimming displays, including techniques for training a backlight extraction model and controlling a local dimming display based on backlight extraction values generated by a trained backlight extraction model. The backlight extraction model is characterizable by its use of separate power regularizations for different local dimming regions, particularly where the local dimming regions are each defined, for a given image to be displayed, as the areas of the given image corresponding to luminance characteristics being below or above a threshold amount for the given image. According to aspects herein, the threshold amount for the given image is determined based on projected backlight extraction values so as to obtain a dark local dimming region and a bright local dimming region, each of which has a different power regularization value applied thereto during a process for controlling backlights of the local dimming display.