3D LUT Color Conversion Grid Optimization
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Solution Overview
Problem
Existing color conversion methods, such as three-dimensional interpolation and grid-based methods, face challenges in achieving high accuracy while managing memory capacity and processing speed, often resulting in increased memory usage and circuit complexity.
Innovation Solution
A color converting device that adjusts the number of grid points based on memory capacity limits, using a uniform grid distance and bit shifting to optimize memory usage and processing efficiency, allowing for flexible setting of lookup tables and improved accuracy within memory constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of grid points is increased to improve color conversion accuracy, then manufacturing precision is improved, but device complexity and memory capacity requirements increase
Solution Approach 1:
The patent divides the color space into a three-dimensional grid structure with grid points distributed along red, green, and blue axes. By segmenting the continuous color space into discrete grid points, the system achieves accurate color conversion while managing memory requirements through structured organization of color conversion data.
Solution Approach 2:
The patent dynamically adjusts the number of grid points based on memory capacity limits. The system can change the density and distribution of grid points in the three-dimensional color space according to available memory resources, allowing flexible optimization between accuracy and memory usage.
2Manufacturing precision
If the number of grid points is increased to improve color conversion accuracy, then manufacturing precision is improved, but loss of substance increases due to higher memory usage
Solution Approach 1:
The system adjusts the number and density of grid points based on memory capacity limits, dynamically changing parameters to optimize the balance between color conversion accuracy and memory consumption.
Solution Approach 2:
The patent applies interpolation processing to calculate color conversion values for grid points not explicitly stored in memory. By storing only key grid point data and computing intermediate values through interpolation, the system achieves high accuracy without proportionally increasing memory usage.
3Device complexity
If three-dimensional interpolation method is used to reduce memory capacity, then device complexity is reduced, but manufacturing precision deteriorates due to linear interpolation errors
Solution Approach 1:
The patent optimizes the grid distance parameter in the three-dimensional color space to minimize interpolation errors. By carefully selecting and adjusting the grid distance, the system achieves accurate color conversion results while maintaining efficient memory usage through the interpolation method.
4Manufacturing precision
If direct conversion method with full color conversion table is used, then manufacturing precision is improved, but device complexity and loss of substance increase due to large memory requirements
Solution Approach 1:
The patent extracts and stores only the essential grid point data in the color conversion table, rather than storing complete color conversion information for all possible input values. This selective storage approach, combined with interpolation processing, achieves accurate color conversion while significantly reducing memory capacity requirements.
Data Source
AI summary
In a color converting device for converting input image data based on a plurality of first color components (the number of bits of each color component is k) into output image data based on plural of second color components by interpolation processing using a 3DLUT storing color correction values at grid points obtained by dividing a color space composed of the plurality of first color components, the distance of the grid points is 2n (where n is an integer smaller than k), the number Dn of grid points of the plurality of first color components is an integer satisfying 2m−1+1<Dn<2m+1+1 (where Dn≠2m+1, and m=k−n), and input image data is converted into output image data by converting each color component data of the input image data according to the number of grid points, and performing interpolation processing by reading color correction values corresponding to the converted color components from the 3DLUT.