Integrated RGB-IR Image Sensing for Blur-Free Low-Light Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image capturing technologies in low illumination scenarios suffer from decreased signal-to-noise ratio and image quality deterioration due to parallax issues in dual sensor fusion and difficulty in separating RGB and IR components, leading to blurry fused images.
Innovation Solution
Adjusting visible light exposure parameters and infrared illuminator luminosity independently based on luminance differences to capture and fuse visible light and infrared images, improving signal-to-noise ratio and detail quality without blurring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dual sensor fusion is used to capture visible light and infrared images, then image quality in low illumination scenarios is improved, but parallax occurs requiring calibration which increases algorithm complexity and design difficulty
Solution Approach 1:
The patent merges the visible light sensor and infrared sensor into a single integrated sensor unit, allowing both types of images to be captured simultaneously from the same optical center. This eliminates the parallax problem that arises from using separate sensors, thereby reducing calibration requirements and algorithm complexity while maintaining improved image quality in low illumination scenarios.
2Measurement precision
If optical splitting is performed to separate RGB component and IR component from RGBIR image, then color reproduction should be improved, but complete separation is difficult resulting in blurry fused images
Solution Approach 1:
The patent segments the sensor into distinct visible light sensing regions and infrared sensing regions within a single integrated structure. This allows the RGB components and IR components to be captured independently by their respective sensor regions, enabling complete separation of the components without the blurring that occurs when optical splitting is used.
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
Enhances image quality by achieving a better signal-to-noise ratio and details in low illumination conditions while simplifying the fusion algorithm and eliminating blurring.
Implementation Method 1
obtaining first original image data captured by using an image sensor based on an initial visible light exposure parameter and luminous intensity of an infrared illuminator
Data Source
AI summary
This application provides an image obtaining method and apparatus. The image obtaining method according to this application includes: obtaining first original image data, where the first original image data is captured by an image sensor based on an initial visible light exposure parameter and luminous intensity of an infrared illuminator; obtaining a luminance of a visible light image based on the first original image data; adjusting the visible light exposure parameter based on a first difference, where the first difference is a difference between the luminance of the visible light image and preset target luminance of the visible light image; obtaining a luminance of an infrared image based on the first original image data; adjusting the luminous intensity of the infrared illuminator based on a second difference, where the second difference is a difference between the luminance of the infrared image and preset target luminance of the infrared image.