Chromaticity Determination via Multispectral AWB Algorithm Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The accuracy of chromaticity information calculated using Automatic White Balance (AWB) and AI AWB fusion algorithms is not high, leading to inadequate white balancing in images.
Innovation Solution
An electronic device equipped with a multispectral sensor and AI automatic white balance module selects an appropriate algorithm based on channel values to determine chromaticity information, adjusting confidence levels and merging correlated color temperatures and chromaticity distances to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple AWB and AI AWB fusion algorithms are used to determine chromaticity information, then the white balance adjustment capability is enhanced, but the accuracy of chromaticity information calculation deteriorates
Solution Approach 1:
The patent segments the algorithm selection process by dividing algorithms into different categories (first category for initial chromaticity determination, second category for refined determination). This segmentation allows each algorithm category to be optimized for its specific purpose, improving overall accuracy while maintaining adaptability across different shooting scenarios.
Solution Approach 2:
The patent implements dynamic algorithm selection based on shooting scenarios. The system automatically selects appropriate algorithms from different categories depending on the specific shooting conditions, making the chromaticity determination process adaptive and context-aware, thereby resolving the contradiction between versatility and precision.
2Device complexity
If a single AWB algorithm is used for chromaticity determination, then the system complexity is low, but the accuracy of chromaticity information is insufficient
Solution Approach 1:
The system dynamically selects algorithms based on shooting scenarios rather than using a fixed single algorithm or always employing multiple algorithms. This dynamic selection approach maintains system simplicity while achieving high accuracy by choosing the most appropriate algorithm for each specific situation.
Solution Approach 2:
The patent changes the parameter of algorithm selection based on shooting scenario parameters. By adjusting which algorithm is used according to the specific shooting conditions, the system achieves high accuracy without requiring all algorithms to be active simultaneously, thus maintaining low system complexity.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
This application provides a method for determining chromaticity information and a related electronic device. The method includes: starting, by the electronic device, a camera application; obtaining, by a multispectral sensor, a first channel value, where the multispectral sensor includes a first channel, and the first channel value is a value obtained by the first channel; sending the first channel value to an automatic white balance module; selecting, by the automatic white balance module, a target algorithm from a plurality of algorithms based on the first channel value; and determining, by the electronic device, target chromaticity information based on a target algorithm.