Off-axis camera-in-the-loop optimization with noise reduction strategy for high-quality hologram generation

Area of Science:

• Optics and Photonics
• Image Processing
• Holography

Background:

• High-quality hologram generation is crucial for various applications.
• Off-axis camera-in-the-loop (CITL) optimization is a common technique.
• Noise and aberrations degrade hologram quality and optimization efficiency.

Purpose of the Study:

• To introduce a novel noise reduction (NR) strategy for off-axis CITL optimization.
• To enhance hologram quality and improve optimization convergence.
• To eliminate aberrations in the optical system.

Main Methods:

• Implemented a noise reduction strategy using Gaussian blur to suppress high-frequency noise.
• Employed a double-hologram generation technique for further noise reduction.
• Integrated an aberration compensation method to remove system aberrations.

Main Results:

• The proposed NR strategy significantly improved optimization convergence.
• The double-hologram technique and aberration compensation further enhanced image quality.
• Optical experiments showed an approximate 5.5 dB improvement in image quality compared to the original CITL method.

Conclusions:

• The proposed noise reduction strategy effectively enhances hologram quality in off-axis CITL optimization.
• The combined techniques offer a robust solution for high-fidelity hologram generation.
• This method provides a significant advancement in holographic imaging.