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Adaptive regional single-pixel imaging based on the Fourier slice theorem
Optics Express
|August 10, 2017
Summary
Adaptive regional single-pixel imaging (ARSI) reduces projected patterns for efficient 2D image reconstruction. This novel method adaptively locates objects, improving imaging efficiency with fewer patterns.
Area of Science:
- Optics and photonics
- Computational imaging
- Image reconstruction techniques
Background:
- Single-pixel imaging (SPI) captures 2D images with non-spatially-resolved detectors.
- Conventional SPI requires numerous projected patterns for sharp image reconstruction.
- Objects occupying only part of the illuminated area lead to inefficiency in traditional SPI.
Purpose of the Study:
- To introduce an adaptive regional SPI (ARSI) method.
- To decrease the number of projected patterns required for image reconstruction.
- To enhance the overall imaging efficiency of SPI.
Main Methods:
- Object region is adaptively located using the Fourier slice theorem.
- Illuminated patterns are projected exclusively onto the identified object region.
- Image reconstruction is performed based on the acquired data.
Main Results:
- ARSI successfully reconstructs sharp 2D images.
- A substantial reduction in the number of projected patterns was achieved.
- Imaging efficiency was significantly improved compared to conventional SPI.
Conclusions:
- The proposed ARSI method offers an efficient approach to single-pixel imaging.
- Adaptive regional pattern projection is effective for objects occupying partial areas.
- ARSI provides a practical solution for improving SPI performance.
