Display Device Still Image Detection via Dither-Irrelevant Pixel Segmentation
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Solution Overview
Problem
Conventional still image detection techniques in display devices require a significant time period, especially when a dithering technique is applied, as dithered image data may change per frame, necessitating a comparison over multiple dithering cycles to differentiate still images from moving images.
Innovation Solution
A display device and method that includes a still image detector capable of rapidly identifying still images by detecting dither-irrelevant pixel data and comparing it across frames, using a comparison pixel ratio with a reference ratio, and adjusting the comparison by adding dither-relevant pixel data that remain unchanged to determine if the dithered image data represent a still image, allowing for low-frequency driving with a reduced frame rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional still image detection technique is used, then still image can be detected, but detection time is significantly increased due to multiple dithering cycles required
Solution Approach 1:
The patent segments the pixel data into dither-irrelevant pixel data (comparison pixel data) and dither-relevant pixel data. By focusing only on dither-irrelevant pixel data for initial comparison, the system can quickly identify still images without waiting for multiple dithering cycles, thus reducing detection time while maintaining accuracy.
Solution Approach 2:
The patent extracts dither-irrelevant pixel data from the overall image data and uses this extracted subset for still image detection. This extraction allows the system to ignore the temporal variations introduced by dithering in dither-relevant pixels, enabling rapid detection without requiring multiple dithering cycles.
2Measurement precision
If dithering technique is applied to increase grayscale resolution, then image quality is improved, but still image detection becomes more complex requiring multiple dithering cycles
Solution Approach 1:
The patent segments pixel data into two categories: dither-irrelevant pixel data that remains unchanged during dithering and dither-relevant pixel data that changes. This segmentation allows the detection system to use only the stable dither-irrelevant pixels for comparison, simplifying the detection process despite the presence of dithering.
Solution Approach 2:
The patent introduces dither-irrelevant pixel data as an intermediary element that bridges the conflict between dithering and detection. These pixels serve as stable reference points that are unaffected by dithering operations, enabling reliable still image detection without needing to wait for multiple dithering cycles.
3Use of energy by moving object
If low frequency driving is implemented to reduce power consumption, then power efficiency is improved, but frame rate is reduced
Solution Approach 1:
The patent dynamically adjusts the frame rate based on image content detection. When still images are detected using dither-irrelevant pixel data comparison, the system switches to low frequency driving mode with reduced frame rate to save power. When moving images are detected, the system returns to normal frame rate to maintain quality, thus optimizing both power consumption and visual performance.
Data Source
AI summary
A display device including a display panel including a plurality of pixels, and a driver configured to drive the display panel. The driver includes a dither configured to perform a dithering operation on image data including a plurality of pixel data for the plurality of pixels to generate dithered image data including a plurality of dithered pixel data respectively corresponding to the plurality of pixel data, and a still image detector configured to receive the dithered image data, to detect dither-irrelevant pixel data that are not changed from the plurality of pixel data by the dithering operation among the plurality of dithered pixel data, and to determine whether the dithered image data represent a still image by using the dither-irrelevant pixel data.