Lensless masked imaging with self-calibrated phase retrieval.

Area of Science:

• Optics and Photonics
• Computational Imaging
• Wavefront Sensing

Background:

• Lensless imaging offers compact configurations for wavefront acquisition using computational methods.
• Existing lensless imaging often relies on customized phase masks, which can be costly.
• Binary amplitude masks provide a cheaper alternative but face challenges in mask calibration and image reconstruction.

Purpose of the Study:

• To develop a robust method for lensless imaging using binary amplitude masks.
• To enable joint recovery of the binary mask and the sample's wave field.
• To achieve high-quality image reconstruction without external calibration devices.

Main Methods:

• Proposed a self-calibrated phase retrieval (SCPR) method.
• Implemented joint recovery of the binary mask and sample's wave field.
• Utilized computational approaches for decoding diffraction patterns.

Main Results:

• Achieved high-performance and flexible image recovery.
• Demonstrated successful joint recovery of the binary mask and wave field.
• Validated the method's superiority through experimental results with various samples.

Conclusions:

• The SCPR method effectively addresses limitations in lensless imaging with binary amplitude masks.
• This approach offers a cost-effective and high-quality imaging solution.
• The self-calibrated nature eliminates the need for auxiliary calibration equipment, enhancing practicality.