Bijective Coded Aperture Mirror System for High-Energy Imaging
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Solution Overview
Problem
Coded aperture imaging systems for high-energy radiation face challenges in maintaining high angular resolution and signal-to-noise ratio, particularly due to the overlap of images from individual pinholes at the imaging plane, which requires complex image processing to reconstruct the original scene effectively.
Innovation Solution
A coded aperture imaging system utilizing a bijective mirror system with planar reflector elements positioned at different angles, coupled with an object lens and image sensor, where the image processor employs error minimization and machine learning to reconstruct the scene from overlapping replicated images, effectively addressing noise retention and data efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a coded aperture with multiple pinholes is used to increase signal-to-noise ratio, then the total area of pinholes can be increased, but the images from individual pinholes overlap at the imaging plane requiring complex image processing
Solution Approach 1:
The coded aperture is segmented into multiple pinholes arranged in a specific pattern, where each pinhole creates a separate shadow that can be individually processed. This segmentation allows the total aperture area to be increased for better signal-to-noise ratio while maintaining structured overlap patterns that are manageable through image processing algorithms.
Solution Approach 2:
The system creates multiple copies of the scene through different pinholes, with each pinhole producing a shadow copy at the imaging plane. These multiple copies overlap in a predictable pattern based on the aperture geometry, allowing reconstruction algorithms to separate and combine the information from each copy to recover the original scene with improved signal-to-noise ratio.
2Measurement precision
If a small single pinhole system is used to maintain high angular resolution, then angular resolution is preserved, but the signal-to-noise ratio is reduced due to limited light collection area
Solution Approach 1:
Multiple pinholes are merged into a single coded aperture structure, where each pinhole contributes to the overall light collection area. The shadows from all pinholes are combined at the imaging plane, effectively merging the signal from multiple small apertures to achieve the light-gathering power of a large aperture while maintaining the angular resolution characteristics of small pinholes through the structured overlap pattern.
3Productivity
If images from multiple pinholes are allowed to overlap at the imaging plane to increase data collection, then more scene information is captured, but complex deconvolution or correlation processing is required to reconstruct the image
Solution Approach 1:
The coded aperture pattern is pre-designed with specific geometric relationships between pinholes, establishing a predictable overlap pattern at the imaging plane before data collection begins. This preliminary structuring of the aperture geometry enables efficient reconstruction algorithms that exploit the known pattern to perform deconvolution or correlation processing, reducing the computational complexity compared to handling arbitrary overlap patterns.
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
This approach enhances data rate efficiency and image fidelity, reduces the need for extensive data transmission, and is suitable for applications with power constraints or low-error requirements, such as compressed sensing, by allowing scene sampling with fewer data and computational resources.
Implementation Method 1
a mirror system for reflecting light from a scene, the mirror system comprising reflector elements that are positioned at different angles with respect to each other
Implementation Method 2
An object lens system collects the light from the mirror system and an image sensor detects the light from the objective lens
Data Source
AI summary
A bijective coded aperture system uses mirror system with a multitude of reflector elements attached to an absorbing, such as black, substrate. Each of the reflector elements is independently placed at a different angle with respect to each other in such a manner that the image of the scene is replicated several times at the focal plane and on the image sensor. Moreover, these replicated images may be overlapping. An image processor can then execute reconstruction methods of the image to faithfully represent the scene.