Display Controller Weighting for Static-Image Power Reduction
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Solution Overview
Problem
Existing display devices face challenges in reducing power consumption without degrading display quality, particularly in images with static or similar content.
Innovation Solution
Implementing a controller that calculates an on-pixel ratio and weighting for input image data, using lookup tables and low-pass filters to adjust image data based on frame similarity, thereby optimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the display device operates continuously to maintain display quality, then the image quality is preserved, but the power consumption increases
Solution Approach 1:
The patent implements dynamic weighting adjustment based on frame similarity. The weighting factor is continuously adapted according to the degree of change between consecutive frames, allowing the display device to operate at lower power consumption when images are static while maintaining quality when images change. This dynamic adjustment resolves the contradiction by making the system flexible rather than fixed.
Solution Approach 2:
The patent changes the parameter of weighting applied to input image data based on frame similarity metrics. When frames are similar, a lower weighting is applied reducing power consumption; when frames differ significantly, full weighting is applied to maintain display quality. This parameter change strategy allows the system to optimize between power consumption and display quality dynamically.
2Use of energy by moving object
If the controller calculates weighting for every frame to optimize power consumption, then the power efficiency improves, but the processing complexity increases
Solution Approach 1:
The patent applies partial action by calculating weighting based on frame similarity rather than processing every frame with full complexity. When frames are identical or highly similar, the system uses simplified logic to determine weighting, reducing processing complexity while still achieving power optimization goals. This selective processing approach resolves the contradiction between optimization and complexity.
Solution Approach 2:
The patent performs preliminary comparison of consecutive frames to determine frame similarity before applying full weighting calculation. This preliminary action allows the system to identify cases where simplified processing is sufficient, reducing overall controller complexity while maintaining power consumption optimization benefits.
3Use of energy by moving object
If the display device reduces power consumption by lowering luminance, then the power consumption decreases, but the display brightness is reduced
Solution Approach 1:
The patent dynamically adjusts luminance reduction based on frame similarity and calculated weighting. When frames are static or similar, luminance is reduced to save power; when frames contain significant changes, full luminance is maintained to preserve display quality. This dynamic approach resolves the contradiction by adapting luminance levels to actual display needs rather than using a fixed reduction.
Solution Approach 2:
The patent changes the luminance parameter adaptively based on the weighting calculated from frame similarity. The luminance reduction ratio is directly tied to the weighting factor, creating a proportional relationship that maintains display quality when needed while maximizing power savings when images are static. This parameter change strategy resolves the brightness-power consumption trade-off.
Data Source
AI summary
A controller includes: an input image data reception circuit configured to receive input image data including a grayscale value of a pixel; a representative value calculation circuit configured to calculate an on-pixel ratio from the received input image data; a weighting calculation circuit configured to calculate a weighting corresponding to the input image data based on the calculated on-pixel ratio; and an image data output circuit configured to output image data generated by multiplying the input image data by the calculated weighting.