Multispectral Sensor IR Removal for Accurate RGB Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image sensors, such as multispectral sensors, often inaccurately capture images due to the influence of infrared light, leading to errors or incorrect color representation.
Innovation Solution
A method and apparatus that utilize a multispectral sensor to acquire channel signals from multiple channels, synthesize infrared components, and remove them using polynomial functions or neural networks to correct channel signals, followed by color conversion to generate accurate RGB images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a multispectral sensor captures light in multiple wavelength bands including infrared, then the sensor can sense both visible and infrared light, but errors occur in the generated image and colors are not expressed accurately
Solution Approach 1:
The patent segments the spectral information by acquiring signals from multiple channels (more than four channels) that correspond to different wavelength bands. By dividing the spectral range into distinct channels, the system can separately analyze and process infrared and visible light components, enabling accurate color representation while maintaining broad spectral sensitivity.
Solution Approach 2:
The patent extracts infrared components from the channel signals by synthesizing infrared components from all channels and determining the infrared portion based on cumulative infrared signal and individual channel characteristics. This extracted infrared component is then removed from each channel signal to produce corrected signals, thereby eliminating the harmful infrared effect while preserving visible light information for accurate color generation.
2Measurement precision
If infrared components are removed from channel signals, then color accuracy is improved, but additional processing steps are required
Solution Approach 1:
The patent performs preliminary synthesis of infrared components from all channel signals before removing them from individual channels. By pre-calculating the cumulative infrared signal and determining the infrared component for each channel in advance, the system streamlines the removal process and avoids complex iterative adjustments, thereby reducing overall processing complexity while achieving accurate color correction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively removes infrared components, enabling accurate color representation in images captured by multispectral sensors, improving image quality and applicability across various applications.
Implementation Method 1
a photodiode 62, which is a photoelectric transformation element
Data Source
AI summary
A method of acquiring an image includes: acquiring channel signals corresponding to more than four channels from a multispectral sensor; determining a cumulative infrared signal included in all of the channel signals by synthesizing the infrared components of the channel signals; calculating an infrared component of each channel, based on the cumulative infrared signal and individual characteristics of the channels; and acquiring corrected channel signals by removing the infrared component from each of the channel signals.