Phase-bias-blind computational ghost imaging with optical phased array.

Area of Science:

• Optics
• Computational Imaging
• Metrology

Background:

• Computational ghost imaging (CGI) enables object reconstruction using a single-pixel detector.
• Optical phased arrays (OPAs) offer dynamic control over light fields but often suffer from unknown phase biases.
• Accurate phase information is crucial for high-fidelity imaging.

Purpose of the Study:

• To develop a novel CGI method utilizing an OPA with intrinsically unknown phase biases.
• To simultaneously estimate object information and unknown phase biases.
• To achieve complex amplitude field acquisition in OPA-based CGI without reference light.

Main Methods:

• Illuminating an object with multiple light fields generated by an OPA with random phase shifts.
• Capturing the scattered light from the object using a single-pixel detector.
• Simultaneously estimating the object and phase biases from measured intensity signals.
• Implementing complex amplitude field acquisition by adding an iris to the detector for intensity measurements without reference light.

Main Results:

• Numerical demonstration of the proposed method for simultaneous object and phase bias estimation.
• Successful acquisition of complex amplitude fields in OPA-based CGI.
• Validation of the method's effectiveness even with unknown phase biases.

Conclusions:

• The proposed method effectively addresses the challenge of unknown phase biases in OPA-based CGI.
• It enables robust object reconstruction and complex amplitude field acquisition.
• This work advances OPA-based imaging techniques by simplifying calibration requirements.