Camera Array Pixel Distribution for Region-Specific Resolution
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Solution Overview
Problem
Existing image acquisition methods using camera arrays struggle to efficiently enhance image resolution in regions of interest within a scene, as they often distribute pixels evenly across the array, failing to meet diverse user demands for varying image quality requirements across different scene regions.
Innovation Solution
The method involves determining sub-pixel level target offset distances between adjacent cameras in a camera array, adjusting pixel point distribution to concentrate more pixels in regions of interest, and acquiring images with slight vision deviations to improve resolution and signal-to-noise ratio in super-resolution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pixels are distributed evenly across the camera array, then the device complexity is reduced and ease of manufacture is improved, but the image resolution and quality in regions of interest deteriorate
Solution Approach 1:
The patent applies local quality by differentiating pixel distribution across different spatial regions. Specifically, it concentrates more pixels in regions of interest (first region) while using fewer pixels in less important regions (second region). This is achieved by determining sub-pixel level target offset distances for adjacent cameras and adjusting pixel point distribution accordingly, allowing high-resolution imaging where needed without uniformly increasing complexity across the entire array.
2Manufacturing precision
If more pixels are concentrated in regions of interest, then image resolution and quality in those regions improve, but the device complexity and difficulty of manufacturing increase
Solution Approach 1:
The patent implements dynamics by making the pixel distribution adjustable rather than fixed. The pixel point distribution can be dynamically adjusted according to sub-pixel level target offset distances, allowing the system to adapt to different imaging requirements. This dynamic adjustment capability enables the system to concentrate pixels in regions of interest when needed while maintaining flexibility for different应用场景.
Solution Approach 2:
The patent applies parameter changes by modifying the offset distances between corresponding pixel points in adjacent cameras. By adjusting these sub-pixel level offset parameters, the system changes the effective pixel distribution across the camera array, enabling higher resolution in specific regions without requiring a complete redesign of the hardware configuration.
3Ease of operation
If uniform pixel distribution is used across all cameras, then ease of operation is improved, but the ability to meet diverse user demands for varying image quality across different scene regions deteriorates
Solution Approach 1:
The patent enables the camera array to provide different image qualities in different regions by adjusting pixel distribution locally. Regions of interest receive higher resolution treatment through concentrated pixel allocation, while other regions use standard resolution. This local differentiation allows the system to adapt to diverse user demands without complicating the overall operation.
Solution Approach 2:
The system provides dynamic adaptability by allowing adjustment of pixel point distribution according to specific imaging requirements. Users can configure the system to concentrate pixels in different regions based on their needs, making the camera array versatile for various applications while maintaining relatively simple operation through automated or pre-configured settings.
Data Source
AI summary
Embodiments of the present application disclose various super-resolution image acquisition methods and acquisition apparatuses, wherein a super-resolution image acquisition method comprises: determining sub-pixel level target offset distances of corresponding logic pixel points in respective to-be-adjusted regions of image sensors of any two adjacent cameras of a camera array, the respective to-be-adjusted regions being imaging regions of the image sensors respectively corresponding to a first region, and the first region being at least a local part of a scene; adjusting pixel point distribution of image sensors of respective cameras in the camera array according to the sub-pixel level target offset distances; acquiring images of the scene respectively based on the cameras after adjustment; and acquiring a super-resolution image of the scene according to the acquired images. The embodiments of the present application improve imaging quality of a sub-image in the super-resolution image corresponding to the first region.