1D LUT Approximation for 3D Color Space Conversion
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Solution Overview
Problem
Existing image format conversion systems, particularly those using 3D LUTs for HDR/SDR conversions, face significant processing costs and resource constraints, making them impractical for high-channel video processing applications.
Innovation Solution
A system and method utilizing 1D LUTs and a color conversion matrix to approximate 3D LUT functionality, dynamically modifying curve parameters to minimize error and reduce processing costs, allowing for efficient HDR/SDR conversions without the need for complex 3D LUT processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D LUT is used for image format conversion, then conversion accuracy is improved, but processing cost and device complexity increase significantly
Solution Approach 1:
The patent segments the 3D LUT conversion process into multiple 1D LUT operations. Instead of using a single complex 3D lookup table that processes all three color channels simultaneously, the invention applies separate 1D lookup tables to each color channel (R, G, B) independently, then combines the results. This segmentation reduces the computational complexity from O(N³) for 3D LUT to O(3N) for multiple 1D LUTs, while maintaining acceptable conversion accuracy through proper calibration of each individual 1D LUT.
Solution Approach 2:
The patent extracts the essential conversion functionality from the complex 3D LUT structure and implements it through simpler 1D LUT operations. By taking out the core tone mapping and color space conversion functions and implementing them through separate 1D lookup tables for each color channel, the invention eliminates the need for complex 3D interpolation while preserving the fundamental conversion accuracy required for HDR/SDR and color space transformations.
2Manufacturing precision
If 3D LUT is used for HDR/SDR conversion, then conversion quality is improved, but processing speed decreases due to high computational requirements
Solution Approach 1:
The patent segments the computationally intensive 3D LUT operation into multiple independent 1D LUT operations. By processing each color channel separately through its own 1D lookup table and then combining the results, the invention reduces the computational burden from evaluating a 3D function to evaluating three separate 1D functions. This segmentation enables faster processing speed suitable for real-time HDR/SDR conversion while maintaining conversion quality through careful calibration of each 1D LUT to match the desired transfer characteristics.
3Measurement precision
If 3D LUT is used for color space conversion, then color accuracy is improved, but resource consumption increases making it impractical for high-channel video processing
Solution Approach 1:
The patent segments the color space conversion process into independent 1D LUT operations for each color channel, dramatically reducing compute resource consumption. Instead of requiring a large 3D LUT that consumes significant memory and processing power, the invention uses three separate 1D LUTs that require minimal resources. This segmentation enables the system to handle high-channel video processing applications where resource efficiency is critical, while maintaining color accuracy through proper design and calibration of each individual 1D LUT to preserve color relationships.
Solution Approach 2:
The patent extracts the essential color conversion functionality from the resource-intensive 3D LUT structure and implements it through efficient 1D LUT operations. By taking out the core color space transformation functions and implementing them through separate 1D lookup tables, the invention eliminates the excessive resource consumption associated with 3D LUTs while preserving the fundamental color accuracy required for professional video processing applications.
Data Source
AI summary
A system is provided for converting image data from a first image format to a second image format that approximates a three-dimensional lookup table. The system includes an image processing operation database that stores image format conversion configurations; an image format conversion selector that selects an image format conversion for converting the image data from a first to a second format and that accesses, from the database, a corresponding image format conversion configuration for converting the image data to the second format; and an image processor that executes processing input operations on RGB components of the image data, a 3×3 matrix, and processing output operations on the respective RGB components that are output from the 3×3 matrix, such that the image data is converted to the second format, with the processing input and output operations comprising the accessed image format conversion configuration.