3D Pixel Gray Scale Table for TV Color Mapping
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Solution Overview
Problem
Traditional color space mapping correction methods for TVs are inefficient, requiring multiple cycles for data collection and adjustment, leading to chrominance and brightness distortion due to limited adjustment points and reliance on simple linear relationships, resulting in uneven image quality across different batches of products.
Innovation Solution
A method involving the collection and processing of original data from specific pictures displayed on a TV terminal to generate a 3D pixel gray scale table, which includes r, g, b color mapping coefficients, allowing for accurate image color mapping and improved image restoration by indexing the color mapping relationship.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional successive approximation correction method is used, then the debugging system can perform color space mapping correction, but the debugging process requires multiple cycles of data collection and adjustment, resulting in long and unstable debugging time
Solution Approach 1:
The patent pre-calculates and stores a comprehensive 3D LUT (Look-Up Table) containing color mapping relationships for all possible input RGB values before actual debugging. This preliminary preparation eliminates the need for iterative calculations during the debugging process, allowing the system to directly retrieve pre-computed correction values and significantly reducing debugging time while maintaining high accuracy
Solution Approach 2:
The patent divides the continuous color space into a discrete 3D grid structure with 256×256×256 points (one point for each possible 8-bit RGB value). By segmenting the color space into manageable discrete points and pre-computing the LUT for each point, the system transforms a complex continuous optimization problem into a structured discrete lookup problem, enabling fast retrieval without iterative cycles
2Ease of operation
If only a few adjustment points are used in traditional correction, then the debugging process is simpler, but the chrominance and brightness of the entire color space cannot meet the requirements, causing deviation from real target
Solution Approach 1:
The patent transforms the correction approach from adjusting only a few key points to computing and storing correction parameters for all 256×256×256 RGB points in the color space. By changing the parameter coverage from sparse to comprehensive, the system achieves accurate chrominance and brightness correction across the entire color space while maintaining operational simplicity through automated LUT generation and retrieval
Solution Approach 2:
The patent creates a complete digital copy of the color space mapping relationship in the form of a 3D LUT, where every possible input RGB value has a corresponding corrected output value stored. This comprehensive copying of the color space relationships allows the system to accurately represent the entire color space without physically adjusting each point, achieving high precision through data replication rather than physical modification
3Productivity
If simple linear relationship is used to correspond remaining points after adjustment, then the correction process is faster, but the chrominance and brightness of some areas deviate from the real target
Solution Approach 1:
Instead of using simple linear interpolation during the correction process, the patent pre-calculates the exact color mapping relationships for all 256×256×256 points and stores them in a 3D LUT. This preliminary computation eliminates the need for approximate linear relationships during runtime, providing both fast retrieval speed and high accuracy by directly looking up pre-computed values rather than calculating approximations
Solution Approach 2:
The patent replaces the mechanical calculation process (linear interpolation and iterative adjustment) with a data retrieval process (LUT lookup). By substituting computational mechanics with pre-computed data access, the system achieves both high speed (instant retrieval) and high precision (exact pre-computed values) without relying on approximate linear relationships
4Reliability
If traditional correction method is used, then the debugging system can adapt to specific product characteristics, but the system needs to be adjusted accordingly for different product schemes, reducing versatility
Solution Approach 1:
The patent creates a universal 3D LUT-based correction framework that can handle any TV model or product scheme through a single standardized approach. The system generates product-specific LUTs by inputting target color space parameters, but the underlying correction mechanism remains universal and unchanged, allowing the same debugging system to accurately correct multiple different product schemes without requiring system adjustments
Data Source
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AI summary
Disclosed is a color space mapping method, including the following operations: obtaining original data and feature data of a target TV terminal image, and calculating a feature coefficient according to the original data and the feature data; generating a 3D pixel gray scale table according to the feature coefficient and the feature data; and transmitting the 3D pixel gray scale table to a color processing area for storage, to allow a target TV terminal to read a stored data content of the 3D pixel gray scale table for image color mapping. A color space mapping equipment, computer readable storage medium, and device are further disclosed.