Visible-Light Image Correction Through Multi-Exposure Infrared Synthesis
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Solution Overview
Problem
Visible light images often suffer from low contrast or poor visibility due to factors like fog, haze, or low illumination, while infrared light images, though capable of improving visibility, face issues with brightness differences and noise when adjusted to match visible light images.
Innovation Solution
An image capturing apparatus and method that determines optimal exposure for both visible and infrared light images, captures multiple infrared light images, synthesizes them to create a synthetic image, and corrects the visible light image using this synthetic infrared light image to enhance contrast and visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the brightness of the infrared light image is adjusted to match the visible light image, then the brightness matching between images is improved, but the noise level increases or information saturation occurs
Solution Approach 1:
The patent applies preliminary action by capturing multiple infrared light images with different exposure conditions before synthesis. By pre-capturing images with varying exposures (including under-exposed images that avoid saturation), the system prepares multiple candidates that can be synthesized to achieve both brightness matching and noise reduction. This preliminary capture of diverse exposure data enables subsequent synthesis to select optimal information without saturation or excessive noise.
Solution Approach 2:
The patent changes exposure parameters when capturing infrared light images. Multiple infrared images are captured with different exposure conditions (different exposure times or gain settings). This parameter variation allows the synthesis process to combine images that avoid both under-exposure noise and over-exposure saturation, achieving optimal brightness matching while maintaining information accuracy.
2Productivity
If a single infrared light image is used for correction, then the processing speed is improved, but the visibility enhancement and noise reduction are insufficient
Solution Approach 1:
The patent merges multiple infrared light images with different exposure conditions through synthesis processing. By combining multiple images, the system achieves better noise reduction and visibility enhancement compared to using a single image. The synthesis process integrates information from multiple exposure conditions to produce a high-quality synthetic infrared image for correction.
Solution Approach 2:
The patent uses partial action by selectively using only the necessary portions of multiple captured images for synthesis. Rather than processing all captured images equally, the synthesis unit selects and combines appropriate regions or images based on their quality and exposure characteristics, achieving optimal results without excessive processing overhead.
3Manufacturing precision
If the exposure is determined based on visible light characteristics, then the visible light image quality is optimized, but the infrared light image suffers from brightness mismatch and information loss
Solution Approach 1:
The patent applies universality by using a single exposure determination process that serves multiple purposes. The exposure determined for visible light imaging is also used for capturing infrared light images, making the exposure setting universal for both imaging types. Combined with subsequent synthesis of multiple infrared images, this universal exposure approach ensures both visible light image quality and infrared information preservation.
Solution Approach 2:
The patent uses copying by creating multiple copies of infrared light images with the same exposure settings determined for visible light. These copied infrared images are then synthesized to recover information that may be lost in individual copies. This copying approach allows the system to maintain the exposure optimization for visible light while recovering infrared information through synthesis of multiple copies.
Data Source
AI summary
An image capturing apparatus comprises a determination unit configured to determine an exposure in order to capture a visible light image and an invisible light image; an image capturing unit configured to capture a visible light image and a plurality of invisible light images with an exposure determined by the determination unit; a synthesis unit configured to synthesize the plurality of invisible light images and generate a synthetic invisible light image; and a correction unit configured to correct the visible light image using the synthetic invisible light image.


