Wavelength Component Proportion Detection for Image Stabilization
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Solution Overview
Problem
Conventional cameras with infrared cutting filters are unable to accurately detect the proportion of infrared wavelength components from 650 to 800 nm and combined visible and infrared wavelength components in light sources like incandescent lamps or sunlight, leading to unstable luminance in captured images.
Innovation Solution
A wavelength proportion detection apparatus using a color filter, image-pickup element, and detector to extract color-difference and luminance signals, which then determine the proportions of wavelength components in specific infrared regions, allowing for the calculation of visible wavelength component luminance and control of the infrared cutting filter's insertion timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional cameras use infrared cutting filters to block infrared light, then color image quality is improved, but the ability to detect wavelength component proportions is lost
Solution Approach 1:
The patent segments the infrared wavelength region into multiple bands (first infrared wavelength region with higher red transmittance difference, and second infrared wavelength region with lower red transmittance difference). By detecting proportions in each segment separately, the system achieves precise wavelength component detection while maintaining color image quality through selective filtering.
Solution Approach 2:
The system performs preliminary detection of infrared wavelength component proportions before inserting the infrared cutting filter. This allows the control unit to determine optimal insertion timing and maintain visible wavelength luminance, preventing luminance instability while preserving the ability to detect wavelength proportions.
2Stability of the object's composition
If infrared cutting filter is inserted to stabilize luminance, then luminance stability is improved, but detection of infrared wavelength components becomes impossible
Solution Approach 1:
The system performs preliminary detection of infrared wavelength component proportions in the light source before inserting the infrared cutting filter. The control unit uses this detection result to determine the optimal insertion timing, thereby maintaining visible wavelength luminance stability while preserving infrared detection capability when needed.
Solution Approach 2:
The system continuously detects infrared wavelength component proportions and feeds this information back to the control unit, which adjusts the infrared cutting filter insertion timing accordingly. This feedback mechanism maintains luminance stability by preventing infrared contamination while preserving detection capability through dynamic control.
3Measurement precision
If the camera operates in black-and-white mode to capture infrared light, then infrared detection capability is improved, but color image capability is lost
Solution Approach 1:
The system dynamically switches between color and black-and-white image pickup modes based on the detected infrared wavelength component proportion. When infrared proportions are high, it switches to black-and-white mode for infrared detection; when infrared proportions are low, it uses color mode. This dynamic adaptation allows the system to optimize for either color quality or infrared detection depending on lighting conditions.
4Adaptability or versatility
If the infrared cutting filter is automatically inserted and removed, then adaptability to different lighting conditions is improved, but luminance instability occurs due to hunting
Solution Approach 1:
The system uses feedback from infrared wavelength component proportion detection to control filter insertion timing. By detecting the actual infrared content in the light source and using this information to determine when to insert or remove the filter, the system avoids arbitrary switching and hunting behavior, thereby maintaining luminance stability while adapting to different lighting conditions.
Solution Approach 2:
The system changes the operational parameter (infrared cutting filter insertion state) based on detected wavelength component proportions. By using the detected infrared proportion as a threshold parameter, the system determines optimal insertion timing, preventing frequent switching and hunting while maintaining adaptability to varying lighting conditions.
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
This solution stabilizes the luminance of color images by accurately detecting and adjusting for the proportion of infrared components, ensuring consistent image quality across varying light sources.
Implementation Method 1
an image-pickup element which outputs an image-pickup signal by converting light in a visible wavelength region and light in an infrared wavelength region transmitted through the color filter into an electrical signal
Data Source
AI summary
A wavelength component proportion detection apparatus is disclosed which is capable of detecting the proportions of the wavelength components under a light source including the visible and infrared wavelength components. The apparatus comprises a color filter, an image-pickup element, an extractor which extracts a color-difference signal from an image-pickup signal, and a detector which detects, on the basis of the extracted color-difference signal, the proportion of a wavelength component in a first infrared wavelength region and the proportion of a wavelength component in a second infrared wavelength region in the light from the light source.