Display Device Tone Mapping for Power Reduction
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Solution Overview
Problem
As the size of display screens increases, so does power consumption, leading to higher carbon emissions and compliance issues with environmental regulations. Existing display devices struggle to efficiently reduce power consumption without compromising image quality.
Innovation Solution
A display device and method that identify input images as multiple areas, classify them as focus or background areas, and apply both global and local tone mapping curves to allocate power consumption reduction amounts based on area type, pixel level, and other factors, thereby performing image processing that maintains image quality while reducing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the size of the display screen is increased, then the screen area is improved, but the power consumption increases
Solution Approach 1:
The display screen is divided into multiple local regions, each with independent tone mapping control. This allows different parts of the screen to have different pixel level adjustments, enabling power consumption reduction in less important areas while maintaining image quality in focus areas, thus resolving the contradiction between large screen area and power consumption.
Solution Approach 2:
Different quality levels are applied to different regions of the display. The focus area maintains high image quality with minimal pixel level reduction, while background areas accept greater pixel level reduction. This local differentiation allows the large screen to operate with lower overall power consumption while preserving visual quality where needed.
2Use of energy by stationary object
If power consumption is reduced by lowering pixel level, then energy use is improved, but image quality deteriorates
Solution Approach 1:
The system dynamically adjusts pixel level reduction amounts based on the importance of each local region. The processor determines focus areas and background areas, applying different tone mapping curves accordingly. This dynamic adaptation allows power consumption to be reduced while maintaining image quality in critical areas, resolving the contradiction between energy efficiency and image quality.
Solution Approach 2:
The invention changes the parameter of pixel level reduction amount based on spatial location and image importance. By adjusting this parameter differently across focus and background areas, the system achieves both power consumption reduction and image quality preservation, resolving the contradiction between these two requirements.
3Use of energy by stationary object
If uniform pixel level reduction is applied to the entire image, then power consumption is reduced, but visual contrast and image quality are compromised
Solution Approach 1:
The image is segmented into focus areas and background areas, allowing differential pixel level adjustment. This segmentation enables the system to reduce power consumption through pixel level reduction in background areas while maintaining visual contrast in focus areas, thus resolving the contradiction between power consumption and visual contrast.
Solution Approach 2:
Different quality preservation levels are applied locally to different regions. Focus areas maintain their original pixel levels and visual contrast, while background areas accept pixel level reduction. This local quality differentiation resolves the contradiction by preserving visual contrast where it matters most while reducing overall power consumption.
Data Source
AI summary
A display device including: a display; and at least one processor connected to the display and configured to control the display device, where the at least one processor is configured to: identify an input image as a plurality of areas, identify a type of each of the plurality of areas by identifying at least one of the plurality of areas as a focus area and by identifying other areas of the plurality of areas as a background area, obtain a global tone mapping curve (TMC) for the input image based on a pixel level reduction amount corresponding to a target power consumption reduction amount, allocate a power consumption reduction amount to each of the plurality of areas based on the type of each of the plurality of areas, obtain a local tone mapping curve for each of the plurality of areas.