Aerial Camera Image Processing for Detail Magnification
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Solution Overview
Problem
Existing aerial cameras have limited resolution, making it difficult to acquire accurate image details and meet user requirements for local region analysis during aerial photographic reconnaissance.
Innovation Solution
An image processing method that receives data from high-resolution visible light and infrared thermal imaging lenses, cuts a target region, and superimposes images to generate a picture-in-picture image, allowing for magnification and integration of global and local views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a limited-resolution aerial camera is used, then the device complexity is reduced and cost is lowered, but the measurement precision of image details deteriorates
Solution Approach 1:
The image data is segmented into a main image display area and a magnified local region display area. The main area shows the overall scene captured by the limited-resolution aerial camera, while the magnified area displays an enlarged view of a specific region of interest. This segmentation allows the system to provide detailed views of local regions without requiring the entire camera system to have high resolution, thus resolving the contradiction between measurement precision and device complexity.
2Measurement precision
If a high-resolution aerial camera is used to capture detailed local regions, then the measurement precision of image details is improved, but the loss of information about the global field of view increases
Solution Approach 1:
The patent implements a nested display structure where a magnified local region image is embedded within the context of the overall scene image. The main image display area shows the global field of view, and the magnified local region display area is positioned within it, allowing users to see both the detailed local region and its context in the overall scene simultaneously. This nesting approach prevents loss of global field of view information while providing enhanced local detail.
3Measurement precision
If multiple cameras with different resolutions are used to capture both global and local views, then the measurement precision for different regions is improved, but the device complexity increases
Solution Approach 1:
Instead of using multiple physical cameras with different resolutions, the patent creates a copied and magnified version of the local region from the single aerial camera's image data. The magnified local region display area is generated by digitally enlarging and processing a specific portion of the original image, rather than capturing it with a separate high-resolution camera. This copying approach achieves multi-region precision without increasing device complexity.
Data Source
AI summary
Embodiments of the present invention relate to an image processing method and device for an aerial camera, and an unmanned aerial vehicle. The method includes: receiving first image data and second image data, the first image data being image data from a high-resolution visible light lens and the second image data being infrared data from an infrared thermal imaging lens; cutting a target region from the first image data; displaying the target region in a first picture and displaying the second image data in a second picture respectively; and superimposing the first picture and the second picture to generate a picture-in-picture image. In this way, a function of magnifying a local target region can be implemented, thereby effectively improving user experience, and meeting requirements of a user for detailed viewing of a specific target.