Dynamic Panoramic Image Parameter Adjustment for Multi-Camera Consistency
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Solution Overview
Problem
Existing methods for capturing dynamic panoramic images struggle to maintain consistent image parameters across multiple cameras, leading to incomplete detail recovery, especially when dealing with varying light sources, as they adjust parameters post-production rather than during image capture.
Innovation Solution
A dynamic panoramic image parameter adjustment system that includes image capture elements and a parameter processing module, which calculates element compensation values based on target setting values and adjusting ratios to adjust camera parameters in real-time, ensuring consistent image capture across multiple cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If image parameters are adjusted post-production using embedded algorithms or external software, then panoramic images can show consistent appearance, but image details that were missed in the original image cannot be recovered
Solution Approach 1:
The system performs preliminary action by adjusting image capture parameters (exposure, gain, white balance) before the images are captured, rather than adjusting them after capture. The parameter processing module calculates compensation values based on target setting values and adjusts each image capture device's parameters in real-time before shooting, ensuring that the original images contain complete detail information while maintaining appearance consistency across different devices
Solution Approach 2:
The system applies parameter changes by dynamically adjusting the shooting parameters of image capture devices. The parameter processing module calculates element compensation values by multiplying the difference between target setting values and first parameter setting values by an adjusting ratio, then compensates the first parameter setting values to form second parameter setting values. This real-time parameter adjustment ensures that each device captures images with optimized parameters for detail preservation while maintaining overall consistency
2Adaptability or versatility
If multiple image capture devices shoot panoramic images at different shooting angles, then dynamic panoramic images can be formed by stitching, but light source and brightness variations cause different image parameters across devices
Solution Approach 1:
The system implements feedback by continuously monitoring the image capture parameters and adjusting them in real-time. The parameter processing module receives first parameter setting values from each image capture device, calculates compensation values based on target setting values, and sends adjusted second parameter setting values back to the devices. This closed-loop feedback mechanism ensures that despite different shooting angles and light sources, all devices maintain consistent image parameters
Solution Approach 2:
The system dynamically changes parameters by calculating element compensation values that adjust each device's parameter setting values. The compensation value is computed by multiplying the difference between target setting value and first parameter setting value by an adjusting ratio. This real-time parameter adjustment compensates for variations caused by different shooting angles and light sources, maintaining precision across all captured images
3Adaptability or versatility
If over-exposed images are captured by image capture devices, then images can be taken in varying light conditions, but image details are lost and cannot be recovered by brightness reduction
Solution Approach 1:
The system prevents information loss by performing preliminary action - adjusting exposure and gain parameters before image capture. The parameter processing module calculates appropriate compensation values based on target setting values and light conditions, ensuring that each image is captured with optimal parameters that preserve detail information. This prevents over-exposure from occurring in the first place, rather than trying to recover details after loss
Solution Approach 2:
The system dynamically changes exposure and gain parameters adaptively based on light conditions. The parameter processing module adjusts the first parameter setting values by multiplying the difference between target setting value and first parameter setting value by an adjusting ratio to form second parameter setting values. This real-time parameter adjustment ensures that images are captured with appropriate exposure levels that preserve detail information across varying light conditions
Data Source
AI summary
A dynamic panoramic image parameter adjustment system and a method thereof are provided. The dynamic panoramic image parameter adjustment system includes a plurality of image capture elements and a parameter processing module. Firstly, a plurality of first images is captured by the image capture elements at a first time point. A plurality of first parameter setting values corresponding to the image capture elements are extracted by the parameter processing module. The parameter processing module calculates element compensation values based on the first parameter setting values and the target setting values, and compensates the first parameter setting values by using the element compensation values to form the second parameter setting values. Finally, the first parameter setting values are adjusted as the second parameter setting values at a second time point and a plurality of second images for forming a dynamic panoramic image together with the first images are captured.