Multispectral Sensor Color Conversion for Variable Light Sources
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multispectral sensors face challenges in accurately converting color information due to the limitations of using a single 3×3 matrix for RGB sensors, which are not suitable for multispectral sensors with more channels, leading to imprecise color restoration under varying light source conditions.
Innovation Solution
A method and apparatus that utilize a multispectral sensor to convert input images into a color space using a color conversion matrix tailored to the light source conditions, involving a processor to determine the light source group and optimize the color conversion matrix based on spectral characteristics, including techniques like pattern-matching and neural networks to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single 3×3 color conversion matrix is used for RGB sensors, then the device complexity is reduced, but the manufacturing precision of color restoration deteriorates under varying light source conditions
Solution Approach 1:
The patent divides the color conversion process into multiple segments by creating separate color conversion matrices for different light source conditions (indoor, outdoor, artificial lighting). Instead of using a single universal matrix, the system segments the problem into condition-specific matrices that are selected based on the detected lighting environment, thereby improving color restoration accuracy without significantly increasing overall system complexity.
Solution Approach 2:
The patent implements a dynamic color conversion system where the appropriate color conversion matrix is dynamically selected based on real-time detection of light source characteristics. The system adapts to changing lighting conditions by switching between different pre-calibrated matrices, making the color conversion process dynamic rather than static, which improves manufacturing precision across varying conditions.
2Device complexity
If RGB sensors with three channels are used, then the device complexity is reduced, but the measurement precision of spectral characteristics deteriorates
Solution Approach 1:
The patent introduces an intermediary component - a light source detection module - that analyzes the spectral characteristics of the illuminating light and provides this information to guide the selection of appropriate color conversion matrices. This intermediary enables the simple three-channel RGB sensor to achieve better spectral understanding by incorporating external light source analysis without requiring the sensor itself to have more channels.
3Measurement precision
If color conversion matrices optimized for typical standard light sources are used, then the measurement precision of color information is improved, but the adaptability to non-standard or varying light sources deteriorates
Solution Approach 1:
The patent creates a universal color conversion system that handles multiple light source types through a single integrated approach. By developing multiple color conversion matrices each optimized for specific light source categories (natural light, artificial light, mixed lighting) and implementing an automatic selection mechanism, the system achieves multi-functionality that adapts to various lighting conditions while maintaining color accuracy for each specific scenario.
Data Source
AI summary
Provided is an image acquisition apparatus including a multispectral image sensor configured to acquire an input image including channel signals corresponding to four or more channels, a memory configured to store at least one instruction, and a processor configured to execute the at least one instruction to determine, based on characteristics of a spectrum of the input image, under which light source group from among a plurality of light source groups a light source of the input image is included in, and color convert the input image based on a color conversion matrix corresponding to the determined light source group, and generate an output image based on the color converted input image.