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Radon single-pixel imaging with projective sampling
Optics Express
|June 6, 2019
Summary
This study introduces a new Radon single-pixel imaging technique using projective sampling and Radon basis patterns. This method enables fast and robust object recognition directly in the Radon spectrum domain.
Area of Science:
- Optics and Photonics
- Image Processing
- Computational Imaging
Background:
- Conventional single-pixel imaging systems often rely on specific illumination patterns.
- The Radon transform is a mathematical tool used for image reconstruction and analysis.
Purpose of the Study:
- To propose a novel single-pixel imaging technique based on Radon transform principles.
- To introduce Radon basis patterns for enhanced projective sampling.
- To demonstrate efficient object recognition in the Radon spectrum domain.
Main Methods:
- Utilizing candy-striped Radon basis patterns generated from 1D Hadamard functions projected at various angles.
- Employing an iterative reconstruction method to restore 1D projection functions.
- Recovering the object's Radon spectrum and reconstructing the image via filtered back-projection.
Main Results:
- Successfully obtained both the Radon spectrum and image of an object.
- Demonstrated fast, robust, and high classification rates for object recognition in the Radon spectrum domain.
- Enabled direct detection of lines and other shapes within a scene by analyzing the Radon spectrum.
Conclusions:
- The proposed Radon single-pixel imaging technique is effective for acquiring object information.
- Recognition in the Radon spectrum domain offers significant advantages in speed and accuracy over image domain recognition.
- This technique shows potential for various applications requiring rapid and reliable object detection and classification.
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