HDR Histogram Bin Allocation for Consistent Luma Granularity
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Solution Overview
Problem
Existing systems face challenges in consistently displaying high-dynamic range (HDR) image content due to inconsistent bin allocation, leading to loss of granularity and uneven utilization of bins across different levels of HDR content.
Innovation Solution
Dynamic bin allocation is implemented based on the upper boundary of HDR content, adjusting break points to ensure consistent display quality by optimizing bin distribution for both SDR and HDR levels, using pixel contrast control circuitry to process image data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed bin allocation is used for HDR content, then processing is simplified, but display consistency is lost across different luma levels
Solution Approach 1:
The patent implements dynamic bin allocation where the number of bins and their boundaries are adjusted based on the detected upper boundary of HDR content. Instead of using a fixed bin structure, the system dynamically reconfigures bins to match the actual content requirements, ensuring optimal display consistency across different luma levels while maintaining processing efficiency through automated detection and adjustment.
2Adaptability or versatility
If bins are allocated for full 16× HDR range, then high luma content is preserved, but lower luma content (e.g., 4×) suffers from loss of granularity
Solution Approach 1:
The patent applies local quality by allocating bin resources according to the specific requirements of each content segment. When content has an upper boundary of 4×, bins are concentrated in the 0-4× range with fine granularity. When content extends to 16×, the bin structure expands to cover the full range with appropriate granularity at each level, ensuring optimal precision locally adapted to each content's luma characteristics.
3Reliability
If dynamic bin allocation is implemented, then display consistency is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary detection of the upper boundary of HDR content before bin allocation. By detecting the actual luma range in advance and pre-configuring bins accordingly, the system avoids the need for complex real-time adjustments during processing. This preliminary action simplifies subsequent processing while maintaining display consistency across different content types.
Data Source
AI summary
Methods and systems include determining an upper boundary of brightness values of high-dynamic range image content. Using the determined upper boundary, end points of bins of histogram values are determined. Using the determined end points of the bins of histogram values, luma values are allocated to the bins. The high-dynamic range image content is processed based at least in part on the allocations to the bins. Image data including the processed high-dynamic range image content is displayed via an electronic display.