Light-Splitting Image Fusion Device for Color Accuracy
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Solution Overview
Problem
Existing image collection devices for light splitting and fusion suffer from color distortion in fused images due to ignoring differences in light wave reflection characteristics between visible and non-visible light bands, leading to inaccurate color representation.
Innovation Solution
An image collection device comprising a light splitter, visible spectrum imaging module, non-visible spectrum imaging module, registration unit, pre-processing synthesizing unit, and fusion unit, which performs brightness adjustment and image fusion to account for light wave reflection differences, using techniques like global mapping and Sobel edge detection to enhance color accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If direct weighting fusion is performed on position-corrected images from visible and non-visible light bands, then the image fusion process is simple and fast, but color distortion occurs due to ignoring different light wave reflection characteristics
Solution Approach 1:
The patent applies preliminary action by performing brightness adjustment and texture synthesis on non-visible light images before fusion. The pre-processing synthesizing unit adjusts brightness based on visible light image characteristics and synthesizes texture information, so that when fusion occurs, the images already account for different light wave reflection characteristics, avoiding color distortion while maintaining efficient processing
Solution Approach 2:
The patent introduces an intermediary processing stage between image acquisition and final fusion. The pre-processing synthesizing unit acts as a mediator that transforms non-visible light images by adjusting brightness and synthesizing textures based on visible light characteristics, bridging the gap between different light bands before they are combined in the fusion unit
2Measurement precision
If brightness adjustment and texture synthesis are performed on non-visible light images before fusion, then color accuracy of fused images is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively processing only specific aspects of non-visible light images rather than the entire image. The pre-processing synthesizing unit focuses on adjusting brightness and synthesizing texture information in specific regions or channels, applying different processing strategies to different parts of the image data based on their specific characteristics
Solution Approach 2:
The patent changes parameters of non-visible light images during pre-processing. The pre-processing synthesizing unit modifies brightness parameters and texture parameters of non-visible light images to match visible light characteristics, transforming the images into a form that is more compatible with visible light images for accurate color representation in fusion
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 solution improves the color accuracy of fused images by adjusting brightness and texture information, effectively addressing the color distortion issues in low illumination scenarios.
Implementation Method 1
a light splitter configured to split incident light into a visible light and a non-visible light
Data Source
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AI summary
An image collection device for light splitting and fusion is provided. In the image collection device, a light splitter splits incident light into a visible light and a non-visible light; a visible spectrum imaging module performs photosensitive imaging according to the visible light split by the light splitter to form a first visible light image; a non-visible spectrum imaging module performs photosensitive imaging according to the non-visible light split by the light splitter to form a first non-visible light image; a registration unit performs position registration on the first visible light image and the first non-visible light image to obtain a target visible light image and a second non-visible light image; a pre-processing synthesizing unit performs brightness adjustment on the second non-visible light image to obtain a target non-visible light image; a fusion unit performs image fusion on the target visible light image and the target non-visible light image to obtain a fused image. By this solution, the color accuracy of the fused image can be ensured effectively.