Rotating asymmetrical phase mask method for improving signal-to-noise ratio in wavefront coding systems

Area of Science:

• Optical Engineering
• Image Processing
• Wavefront Coding

Background:

• Wavefront coding systems aim to extend the depth of field and improve image quality.
• Traditional methods often struggle with signal-to-noise ratio and image artifacts, especially under defocus conditions.

Purpose of the Study:

• To propose and validate a new wavefront coding method for improved signal-to-noise ratio and image quality.
• To analyze the properties of rotated asymmetrical phase masks for optical system enhancement.

Main Methods:

• Combining an asymmetrical phase mask (PM) with its rotated counterpart.
• Generating a complementary synthetic optical transfer function as a deconvolution filter.
• Utilizing frequency domain processing for artifact suppression.

Main Results:

• Simulation analysis using a cubic PM quantitatively demonstrated the method's effectiveness.
• Experimental results confirmed significant improvements in image quality across a wide range of defocus.

Conclusions:

• The proposed method offers a viable approach to enhance signal-to-noise ratio in wavefront coding systems.
• This technique effectively mitigates image artifacts and improves overall image fidelity under defocus.