OLED Image Adjustment Device Using Just-Noticeable Difference Thresholds
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Solution Overview
Problem
OLED displays face a challenge in balancing energy saving and visual quality, as existing power-saving methods often compromise on image clarity, leading to noticeable reductions in visual quality.
Innovation Solution
An image adjustment method and device that calculates a just-noticeable difference value using weighted averaging of sub-pixel data and look-up tables to determine an adjusted grayscale value, balancing brightness reduction with visual quality by considering both foreground and background pixel values, thereby optimizing power saving while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power saving method is applied to OLED display, then energy consumption is reduced, but visual quality is noticeably reduced
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the grayscale threshold based on local image characteristics (foreground/background values) and just-noticeable difference values. Instead of using a fixed threshold, the system adapts the threshold parameter according to the specific pixel context, allowing aggressive dimming in uniform areas while preserving detail in complex regions, thus resolving the contradiction between energy saving and visual quality
Solution Approach 2:
The patent implements local quality by calculating separate foreground and background values for each pixel's neighborhood and applying different thresholding strategies based on local image content. The just-noticeable difference value is determined locally for each pixel based on its surrounding context, enabling the system to preserve visual quality in critical local regions while applying stronger power-saving measures in less critical areas
2Use of energy by moving object
If brightness is reduced for power saving, then energy consumption decreases, but image clarity is degraded
Solution Approach 1:
The patent applies dynamics by making the brightness reduction adaptive rather than static. The grayscale threshold is dynamically calculated for each pixel based on local foreground and background values, allowing the system to respond to local image characteristics. This dynamic approach preserves image clarity in regions where it matters while achieving greater power savings in appropriate regions
Solution Approach 2:
The patent implements feedback by using the just-noticeable difference value as a feedback mechanism. The system calculates local image characteristics, determines the minimum perceptible change, and uses this feedback to adjust the grayscale threshold accordingly. This ensures that brightness reduction does not exceed the threshold of human perception, maintaining image clarity while achieving power savings
Data Source
AI summary
An image adjustment method comprises: generate a grayscale value of a target pixel by weighted averaging a plurality of input sub-pixel data of the target pixel; calculate an average of grayscale values of all pixels comprising the target pixel in a first window to generate a foreground value of the target pixel; calculate an average of grayscale values of all pixels comprising the target pixel in a second window to generate a background value of the target pixel; according to the foreground value of the target pixel and the background value of the target pixel, obtain a just-noticeable difference value in a look-up table as a grayscale difference value; generate an adjusted grayscale value of the target pixel according to the grayscale difference value; and generate a plurality of output sub-pixel data according to the plurality of input sub-pixel data of the target pixel and the adjusted grayscale value.