Scalable High-Resolution Single-Pixel Imaging via Pattern Reshaping.

Area of Science:

• Optics and Photonics
• Image Processing
• Computational Imaging

Background:

• Single-pixel imaging (SPI) offers advantages over traditional matrix-based imaging but typically suffers from lower resolution.
• Existing SPI experimental setups struggle to match the resolution of conventional imaging systems.

Purpose of the Study:

• To present a simple and effective experimental method for enhancing the resolution of single-pixel imaging.
• To demonstrate a technique that bridges the resolution gap between SPI and matrix-based imaging.

Main Methods:

• Utilized patterns derived from Hadamard matrices.
• Reshaped Hadamard patterns to achieve variable aspect ratios for improved resolution along one axis.
• Employed sweeping of patterns to enhance resolution along the second axis.

Main Results:

• Successfully scaled up the resolution of experimental single-pixel imaging.
• Demonstrated improved resolution along both imaging axes through pattern manipulation.
• Achieved resolution comparable to matrix-based imaging systems.

Conclusions:

• The proposed method offers a practical approach to significantly increase SPI resolution.
• This advancement enables novel imaging systems that combine SPI benefits with high-resolution capabilities.
• Paves the way for SPI systems competitive with traditional matrix-based imaging.