2D LUT Color Transform Memory Reduction
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Solution Overview
Problem
Current 2D LUT color transforms require a large memory footprint, which exceeds the limitations of many camera hardware platforms, leading to inaccuracies due to interpolation errors between nodes, especially in wide color gamut workflows.
Innovation Solution
The method involves decomposing 2D LUTs into separable LUTs, applying DCT-like compression, zone-based surface approximations, and hierarchical representations to reduce memory usage, allowing for more accurate color transformations with a reduced memory footprint.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D LUT color transforms are used to achieve accurate color transformation, then color accuracy is improved, but memory footprint increases
Solution Approach 1:
The patent divides the 2D LUT into multiple smaller sub-LUTs or zones, each handling a specific region of the color space. This segmentation allows the system to maintain color accuracy in each local region while reducing the overall memory requirement compared to a single comprehensive 2D LUT.
Solution Approach 2:
The patent transitions from a 2D LUT structure to a hierarchical representation that incorporates additional dimensions of organization (such as level-of-detail dimensions or frequency domain representations). This dimensional transformation enables more efficient memory utilization while preserving color transformation accuracy.
2Measurement precision
If 2D LUT size is increased to reduce interpolation errors, then color accuracy is improved, but hardware compatibility deteriorates
Solution Approach 1:
By segmenting the 2D LUT into smaller sub-LUTs, the patent reduces the memory footprint to levels compatible with various hardware platforms while maintaining color accuracy through localized high-resolution representations in each segment.
Solution Approach 2:
The patent applies different levels of detail or resolution to different regions of the color space based on their importance or characteristics. Critical regions maintain higher resolution for accuracy, while less critical regions use coarser representations, optimizing the balance between accuracy and hardware compatibility.
3Adaptability or versatility
If memory footprint is reduced by using smaller LUTs, then hardware compatibility is improved, but interpolation errors increase
Solution Approach 1:
The patent implements a hierarchical LUT structure where multiple levels of LUTs are nested within each other. Coarser LUTs provide overall color transformation guidance while finer LUTs nested within them provide local refinement, enabling accurate color transformation with reduced memory footprint suitable for hardware implementation.
Solution Approach 2:
The patent introduces hierarchical levels or frequency domain dimensions to organize the LUT data, allowing the system to represent color transformations efficiently at multiple resolutions. This enables hardware-compatible memory footprints while maintaining accuracy through multi-level representation.
Data Source
AI summary
A memory footprint of look up tables for color transforms can be reduced by separating the look up tables into factors, applying frequency domain transforms, dividing the look up tables into zones, or establishing hierarchical levels with increasing resolution. The methods can be applied to still image or video cameras with limited computation resources that can benefit from reduced memory footprints.