Dynamic Granularity Adjustment for OLED Image Sticking

The patent divides the display screen into multiple blocks of varying sizes. High-risk blocks (prone to image sticking) are tracked at fine granularity (sub-pixel level), while low-risk blocks are tracked at coarse granularity (block level). This segmentation allows the system to apply compensation algorithms selectively, improving image quality where needed while reducing overall power consumption and memory usage.

The patent implements differential tracking granularity across different regions of the display. Instead of uniformly applying sub-pixel level tracking to the entire screen, the system adapts the tracking granularity locally based on the risk of image sticking in each block. This local quality approach optimizes the balance between image quality and resource consumption by applying high-precision tracking only where necessary.

The patent segments the display into blocks with different tracking granularities. By storing pixel history data at sub-pixel level only for high-risk blocks and at block level for low-risk blocks, the system significantly reduces total memory usage while maintaining compensation accuracy in critical areas where image sticking is most likely to occur.

The patent applies full-precision sub-pixel level tracking only to the extent necessary (partial action) - specifically to blocks identified as high-risk for image sticking. For the majority of blocks where image sticking is less likely, the system uses coarser block-level tracking, thereby reducing overall memory requirements while maintaining adequate compensation accuracy where it matters most.

The patent divides the display into blocks and applies different processing granularities to different blocks. High-risk blocks undergo sub-pixel level image transformation for optimal quality, while low-risk blocks use block-level transformation for efficiency. This segmentation resolves the contradiction by ensuring high processing efficiency overall while maintaining image quality in critical regions.

The patent implements local quality by adapting the image transformation granularity to the specific needs of each block. In regions prone to image sticking, the system applies high-precision sub-pixel level transformation to maintain image quality. In stable regions, block-level transformation suffices, providing adequate quality while improving processing efficiency and reducing power consumption.

The patent implements dynamic block sizing where blocks are not uniform in size but are adapted based on the differential aging characteristics of different screen areas. The system dynamically adjusts block dimensions to match regions with similar degradation patterns, allowing fine-grained tracking in high-risk areas while using larger blocks in stable areas. This dynamic approach maintains implementation relative simplicity while significantly improving the ability to handle differential aging.

The patent applies local quality by using different block sizes for different regions of the display. Instead of a uniform block structure, the system creates variable-sized blocks that reflect the local degradation characteristics of each screen area. This allows the implementation to remain relatively simple while effectively capturing and responding to differential aging patterns across the display surface.