SED Burn-In Prevention via Stationary Luminance Reduction
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Solution Overview
Problem
Self-emitting display (SED) technology suffers from burn-in, a non-uniform pixel deterioration that leads to image ghosting and reduces the lifetime of SED panels, causing image quality degradation.
Innovation Solution
A computer-implemented method using a dynamic list structure to store detected object bounding boxes, applying temporal analysis for object validation, and employing a 2D buffer to store a luminance reduction ratio, which is applied to each pixel in the video frame, along with spatial smoothing filters to reduce the likelihood of artifacts in luminance-reduced regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If luminance reduction is applied to stationary regions to prevent burn-in, then the lifetime of SED panels is extended, but temporal artifacts and spatial artifacts may occur degrading image quality
Solution Approach 1:
The patent applies preliminary action by performing temporal analysis and object validation before luminance reduction to identify stationary regions that cause burn-in. The system pre-processes video frames to detect bounding boxes of stationary objects and validates them across multiple frames, ensuring that luminance reduction is applied only to confirmed stationary regions rather than all pixels, thus preventing artifacts while protecting against burn-in.
Solution Approach 2:
The patent implements local quality by applying luminance reduction selectively to specific stationary regions identified through object detection and validation, rather than uniformly across the entire display. The system determines distinct bounding boxes for different stationary objects and applies localized luminance reduction to each region, preserving image quality in dynamic areas while protecting stationary regions from burn-in.
2Reliability
If luminance reduction ratio is applied to each pixel to slow burn-in, then pixel deterioration is reduced, but spatial artifacts may occur in luminance-reduced regions
Solution Approach 1:
The patent applies local quality by determining distinct bounding boxes for different stationary objects and applying luminance reduction selectively within each bounding box region rather than uniformly across the display. This localized approach ensures that luminance reduction is concentrated on specific stationary regions causing burn-in, while surrounding dynamic regions maintain normal luminance, thereby preventing spatial artifacts such as visible boundaries or uneven dimming.
Solution Approach 2:
The patent uses preliminary action by performing spatial smoothing filtering on the luminance reduction ratio before applying it to pixels. The system pre-processes the luminance reduction data through spatial smoothing to eliminate abrupt transitions and potential spatial artifacts, ensuring that the luminance reduction is applied in a visually smooth manner that prevents harmful artifacts while still protecting pixels from deterioration.
3Reliability
If temporal analysis with object validation is applied to reduce temporal artifacts, then processing complexity increases, but image quality is maintained
Solution Approach 1:
The patent implements segmentation by dividing the video frame into distinct bounding boxes for different stationary objects through object detection and validation. Instead of processing the entire frame uniformly, the system segments the image into regions of interest (stationary objects) and applies temporal analysis specifically to these segmented regions. This segmentation approach reduces unnecessary processing of dynamic areas while maintaining image quality in stationary regions, thereby managing processing complexity effectively.
Data Source
AI summary
One embodiment provides a computer-implemented method that includes providing a dynamic list structure that stores one or more detected object bounding boxes. Temporal analysis is applied that updates the dynamic list structure with object validation to reduce temporal artifacts. A two-dimensional (2D) buffer is utilized to store a luminance reduction ratio of a whole video frame. The luminance reduction ratio is applied to each pixel in the whole video frame based on the 2D buffer. One or more spatial smoothing filters are applied to the 2D buffer to reduce a likelihood of one or more spatial artifacts occurring in a luminance reduced region.